Personalized Training Programs Research Articles

Learning curves of novice residents on cataract surgery simulator: the E3CAPS pedagogic study

IntroductionTraining novice ophthalmology residents on the EyeSi® simulator increases cataract surgery safety. However, there is no consensus regarding how much training residents should perform before their first time on patients. We evaluated the French national training program through the analysis of the learning curves of novice residents.MethodsThis prospective multicentric pedagogic study was conducted with French novice residents. Each resident completed the recommended four two-hour training sessions and performed a standardized assessment simulating standard cataract surgery before the first session (A0), at the end of the first (A1), second (A2), third (A3) and fourth (A4) sessions. For each surgical step of each attempt, the following data were collected: score, odometer, completion time, posterior capsular rupture and cumulative energy delivered (ultrasounds) during phacoemulsification. A performance threshold was set at a score of 80/100 for each surgical step, 400/500 for the overall procedure. Only descriptive statistics were employed.ResultsSixteen newly nominated ophthalmology residents were included. Median score progressively increased from 95 [IQR 53; 147]) at A0 to 425 [IQR 411; 451] at A4. Despite a significant progression, the “emulsification” step had the lowest A4 scores 86 [IQR 60; 94] without reduction in completion time, odometer or ultrasounds delivered. The rate of posterior capsular rupture decreased linearly from 75% at A0 to 13% at A4 during “emulsification” and from 69 to 0% during “irrigation and aspiration”. At A4, only 25% [8; 53] of residents had > 80 at each step and only 75% [47; 92] had > 400/500 overall.ConclusionA training program consisting of four two-hour sessions on the EyeSi simulator over four consecutive days effectively enhances the surgical skills of novice ophthalmology residents. Undergoing more training sessions may improve scores and decrease the incidence of surgical complications, particularly at the emulsification step of cataract surgery. The learning curves presented here can reassure residents who are progressing normally and help identify those who need a further personalized training program. Trial registrationClinicalTrials registration number: NCT05722080 (first submitted 22/12/2022, first posted 10/02/2023).

A research paper on how Artificial Intelligence changes the Human Resource Activities inside the organization and provides the significant improvement in workforce working environment for various day to day decisions making along with their efficiency and their productivity

This paper speaks volumes about the various processes of Human resource like recruitment , training, selections, performance and development and workforce planning and how the Artificial Intelligence has revolutionized over the period of time by providing various insights and supporting in the decision making process. Artificial intelligence has provided a bias free and advanced algorithms due to which the screening and scheduling of HR process has been done with accurate parameters and lightning fast speed. This study provides a detailed insight to the AI intervention and its effectiveness in providing a great decision making system to the Human resource professionals. This platform is utilizing the sentiment analysis and catboats to monitor and improve the work place environment, which pushes the positivity in work culture and boosts productivity The AI aids in providing continuous feedback, various goal settings and tracking the performance productivity. This also provides a gist as well as in depth knowledge of top performers of the unit and also share the areas of improvement by which the others can reach up to a new bench mark. This AI has been a boon to the HR individuals thoroughly, especially during the performance appraisals. On the other AI enables personalized training programs and adaptive learning paths, addressing skill gaps and aligning employee development along with organizational goals.The point to ponder over is that the AI has also played a crucial role in workforce planning and analytics, additionally, it has aided by providing tools to forecast future workforce needs, optimize resource allocation, and enhance strategic decision-making. This process which is done by IA is by analyzing large datasets, AI also predicts turnover trends and informs succession planning, contributing to organizational productive and efficient life cycle The research has infused a mixed-methods approach, which combines qualitative and quantitative data collection through surveys, interviews, and case studies, alongside statistical analysis of HR metrics pre- and post-AI implementation. The basics of this research paper aims to provide valuable insights for HR professionals and organizational leaders on leveraging AI to enhance HR effectiveness and drive business success. There a strong determination which ensures that the findings will contribute to the evolving body of knowledge on AI in HR and support the development of strategic frameworks for AI adoption in human resource management on a longer run.

Parenting strategies and child behavior at preschool age in families using assisted reproductive technologies

Introduction. Certain parenting strategies have a significant impact on the appearance of behavioral problems in children. Due to the continuous increase in the number of children conceived with the help of assisted reproductive technologies (ART), and the availability of limited, disparate and contradictory data on the development of such children and influencing family factors, the purpose of this study is to identify the characteristics and relationship of maternal and paternal parenting strategies and child behavior in preschool age in families with ART. Materials and methods. The sample consisted of 90 families who used ART and 155 families with natural conception. To identify the features of the child's parenting strategies, the "Interaction with the child" questionnaire was used, and the "Behavior of your child" questionnaire was used to assess the child's behavior. Nonparametric Mann–Whitney U test. Results. The general trends (regardless of the type of conception) are the dominance of manifestations of sensitivity to the child, emotionality, responsiveness, positive constructive regulation of discipline on the part of both parents, but with a predominance of severity in mothers compared with fathers (p≤0.05). There is no specificity associated with the type of conception (p>0.05) in the characteristics of a child's behavior at the age of 5 years. On the one hand, the stronger emotionality towards the child on the part of both parents is specific for families who have used ART (3684.5 < U < 5154.0; p≤0.05), but on the other hand, there are trends towards less consistency and the risk of contradictions in the upbringing of a child compared with families with natural conception of a child, the lack of direct links between paternal strategies and child behavior indicators (p>0.05), stronger interrelations of different manifestations of dysfunctional behavior in a child. The types of ART families with different types of severity and relationship of parental parenting strategies and behavioral characteristics of children (p≤0.05) are identified. Conclusion. The results of the study show the need to develop and conduct personalized training programs for parents and build individual trajectories of psychological support for families who have used ART at the age stages of child development.

A Comparative Study of ALDH2 rs671 Gene and Physical Characteristics and Fitness of Sports Prodigies

PURPOSE: This study aimed to identify differences in physique, basic physical fitness, and specific physical fitness based on the classification of the ALDH2 gene in sports prodigies.METHODS: This study tested the ALDH2 gene in 30 sports prodigies (18 males and 12 females). The participants’ physique (height, weight, arm and leg length, arm stretch, and thigh circumference), body composition (lean body mass and body fat), basic physical fitness (grip strength, sit-ups, sit-and-reach, T-wall test, light reaction time, and standing long jump), and specific physical fitness (shuttle run, sit and throw, sprint, and graded exercise test) were measured.RESULTS: There were no significant differences between the groups classified by gene type in terms of physique, body composition, or specific physical fitness (p>.05). However, in terms of basic physical fitness, only sit-ups showed a significant difference based on the gene classification (p<.05).CONCLUSIONS: The GG genotype group demonstrated superior physical fitness compared to the A allele group when tested for ALDH2. Therefore, ALDH2 gene testing is necessary for classifying physical fitness and designing personalized training programs.

Analysis of Consumer Preferences in the Fitness Services Market of China

This article examines consumer preferences in the fitness services market in China, driven by the growing popularity of fitness and healthy living. Understanding fitness preferences among the population is increasingly important for developing effective fitness programs and marketing strategies. Chinese society is transitioning from traditional lifestyles to more active and healthy ones, leading to a rise in interest in physical activity and entertainment, as well as the emergence of new fitness facilities and programs. Insights into fitness preferences within the context of Chinese society can aid fitness industry enterprises and public health organizers in designing more effective and accessible programs for a broad audience. The contemporary Chinese market is one of the largest and fastest-growing globally. Economic changes in recent decades have led to a significant improvement in living standards and the emergence of new consumer trends among the Chinese population. However, these changes necessitate a thorough analysis of Chinese consumers' preferences to identify key factors influencing their choices. This study is based on a survey of 257 adults from various sociocultural groups across different regions of China. The research aims to determine the problems and prospects of engaging various population segments in health fitness activities and their consumer preferences. The results indicate varied satisfaction levels with fitness outcomes between men and women, with time constraints and lack of motivation being the main obstacles to fitness participation. Financial limitations and the distance to fitness centers also impact, albeit to a lesser extent. The most valued services for a comfortable fitness experience are massage, showers, and personal training programs. Personalized training sessions and online consultations received mixed reviews. These findings highlight the importance of addressing barriers to fitness participation and developing targeted strategies to enhance the quality of life for Chinese consumers.

The role of innovations in the development of modern sports games and its impact on physical activity and sports achievements

Scientific and technical progress is rapidly accelerating, therefore innovative technologies penetrate into all aspects of human life, in particular, into the sports sphere. They open new horizons, allow you to achieve positive results and offer high-tech equipment and equipment. The purpose of the article was to analyze the impact of innovations on physical activity in modern society and sports achievements. In the course of the study, it was found that innovations are innovative methods, technologies and approaches that are implemented to achieve new results, improve processes or solve problems in a certain field. Technological innovations such as virtual reality, innovative materials for sports equipment, artificial intelligence, digital technologies have affected all sports. The main examples of these technologies and their advantages of implementation in the sports industry were analyzed. So, for example, it is determined that the use of synthetic materials in poles for athletics increases their catapulting properties and sports achievements of athletes. Virtual reality technologies contribute to the effective training of cyclists, providing the opportunity to reproduce different weather conditions and types of routes, to test different strategies of speed and intensity of riding without any risks. Modern technologies, which allow to objectively evaluate the biomechanical parameters of the athlete's movements and to correct and improve them, contribute to a significant increase in the effectiveness of the athlete training system. The main groups of modern biomechanical technologies implemented in sports are analyzed. Significant technological updates in the field of sports are caused by the active implementation of digital technologies. Digital technologies help improve the national health care system by facilitating the collection, analysis and dissemination of data on health and physical activity. A key innovation in sports is also the use of fitness trackers and mobile applications that provide personalized training programs and nutritional recommendations.

Which Variables Are Associated with the Magnitude of the Physical Fitness Response in Older Adults? An Analysis of Their Development and Influence.

Regular physical exercise has proven to be an effective strategy for enhancing the health and well-being of older adults. However, there are still gaps in our understanding of the impacts of exercise on older adults with different health conditions, as well as in the customization of training programs according to individual capabilities. This study aimed to analyze the variables that influence the response of physical capabilities in older adults, considering their development over the aging process, with the goal of assisting professionals in creating personalized training programs. To achieve this, we conducted a cohort study involving 562 previously inactive adults and older adults who underwent anthropometric assessments, blood pressure measurements, and comprehensive physical tests. These assessments were conducted before and after a 14-week training program. Results indicated no significant variations in variables such as waist circumference (p = 0.0455, effect size = 0.10), body mass index (p = 0.0215, effect size = 0.15), systolic (p < 0.0001, effect size = 0.35) and diastolic blood pressure (p < 0.0001, effect size = 0.25) pre- and post-intervention. Strength tests, agility, the 6 min walk test (6MWT), and the back scratch test (BS) showed significant improvements post-intervention, with p-values all below 0.0001 and effect sizes ranging from 0.30 to 0.50. Multiple linear regression analyses revealed that lower initial values in physical capabilities were associated with more significant improvements during training (R2 = 0.73, p < 0.001). These results underscore that individualized guidance in training can lead to clinically meaningful improvements in physical performance and health among older adults, with effect sizes indicating moderate-to-large benefits (effect size range = 0.30 to 0.50). Therefore, personalized training programs are essential to maximize health benefits in this population.

Topic maintenance in non-fluent aphasia conversation

Background: Studies on communication partner training programs for persons with aphasia reveal improvements in the conversation partners’ communication skills. This article explores the strategies for topic maintenance developed by the conversational partners of three people with non-fluent aphasia before and after an intervention on conversational strategies. Method: We used conversation analysis to examine video-recorded samples of everyday conversations (pre- and post-treatment and follow-up) between three couples. The assessment for topic management was performed with Conversation Analysis Profile for People with Aphasia (CAPPA). The intervention was conducted over a period of five weeks. The partners were trained to use strategies for better topic maintenance (multiple-choice, multimodality, and message verification). At six weeks post-therapy, a third recording was made. Results: After the intervention, changes in topic maintenance were observed. The use of strategies is related to the pre-existing context and the presence of visual support. Discussion/Conclusion: Individuals with non-fluent aphasia and their conversation partners engage in multimodal conversations and benefit from the use of strategies to overcome barriers to understanding, leading them to maintain a conversational topic.

Features of the Morphofunctional Status and Mechanisms of Vegetative Regulation in Female University Students with Disabilities after Finishing Personal Training Programs

Features of the Morphofunctional Status and Mechanisms of Vegetative Regulation in Female University Students with Disabilities after Finishing Personal Training Programs

The Integration of Personalized Training Program Design and Information Technology for Athletes

The Integration of Personalized Training Program Design and Information Technology for Athletes

SPIKES: Skills and Performance Inventory as Kinesiological Assessment for Empowerment of Sepaktakraw Athletes

This research presents a comprehensive assessment of Sepaktakraw athletes at Batangas State University (BatStateU) TNEU, aiming to enhance athlete development through evidence-based methodologies. Recognizing the global trend towards universities' pivotal role in athlete development, the study addresses the diverse landscape of sports programs, particularly focusing on Sepaktakraw in the Philippines. BatStateU's visionary 5-year development plan emphasizes creating champion athletes, aligning with global trends and emphasizing sports infrastructure and training programs. However, the study identifies an opportunity to enhance training programs by introducing the SPIKES program, incorporating kinesiological assessments for a more scientific and tailored approach. Using a descriptive survey methodology, the research integrates Physical Fitness and Skill-specific Performance Tests to evaluate Sepaktakraw athletes comprehensively. Anthropometric profiling revealed diverse body compositions, while physical fitness assessments highlighted variations in speed, agility, strength, and more. Skill-specific performance evaluations in serving, spiking, and game-specific skills provided insights into athletes' proficiency levels. Results categorized athletes into four kinesiological profiles (A, B, C, D), guiding the design of personalized training programs. The Skill-Specific Training Program, unfolding over 12 weeks, targets specific improvements in physical fitness and skills. This evidence-based approach offers a systematic framework for optimizing Sepaktakraw athletes' performance, providing valuable insights for coaches, trainers, and athletes alike. The study not only enhances BatStateU's athlete development initiatives but also serves as a model for personalized and scientifically rigorous training programs in Sepaktakraw and potentially other sports.

Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling

Core strength training plays an essential role in maximizing performance for badminton athletes. The core muscles in the abdominal, back, and hip regions provide stability, enable efficient power transfer between the upper and lower body, and allow for rapid changes in direction - all crucial components for success in badminton. However, optimizing core training requires an understanding of its impact on sport-specific skills. A variety of exercises targeting the abdominal, back, and hip muscles are discussed. Incorporating core strength training into regular regimens can improve athletes' overall strength, endurance, balance, control, and prevent injuries. This study investigates the effects of various core exercises on stability, agility, and power in badminton players. A comprehensive literature review was conducted to explore the biomechanical demands of badminton and how core musculature contributes to movements like serving, smashing, and lunging. Studies assessing the effects of core training programs in related racquet sports were also examined. The results indicate that targeted core exercises significantly improve athletes' stability, agility, and power output. Exercises targeting the abdominal, back, and hip muscles enhance performance capabilities while reducing injury risk. Machine learning (ML) techniques are then applied to further analyze the relationship between core training and athletic performance. An Artificial Neural Network (ANN) is developed using a dataset of athletes' training histories, metrics, and injury profiles. The model predicts enhancements to stability, agility, and strength from optimized core strengthening routines. Validation confirms the network accurately captures the complex interactions between training variables and physical attributes. This integrated approach provides evidence-based guidelines for tailoring individualized training regimens to unleash players' full abilities. ANNs hold promise for analyzing large datasets on athletes' performance metrics, training variables, and injury histories to design personalized training programs. Linear regression analysis confirmed the ANN's accurate predictions. The findings emphasize integrating data-driven core strength training tailored for badminton into comprehensive programs can help optimize physical abilities and elevate performance levels.

미용전공자들을 위한 퍼스널컬러 이미지메이킹 교육프로그램 교수·학습안 개발

This study attempted to suggest basic training data for image making, which are needed to acquire personal color theories and technical aspects and improve job performances for the students majoring in cosmetology. For this, a training program was developed based on an ADDIE model (analysis, design, development, implementation, evaluation). First, 27 papers on image-making and personal color-related training programs were analyzed. Then, purposes, goals, modules, specific programs and a training method were designed. Specifically, a total of 7 modules were constructed as follows: Modules 1 handles the understanding of colors and tones while Module 2 covers the concept and types of personal color. Module 3 describes a personal color diagnosis system. In addition, Modules 4 and 5 explain color usage (makeup, hair color) and facial expression &amp; posture respectively while Modules 6 and 7 state manners &amp; communications and breaking inferiority complex &amp; vision setup each. Concerning teaching-learning methods, lectures and practices were designed. In terms of the length of lecture, Modules 1-6 were 2 hours each while Module 7 was 1 hour (13 hours in total). It is anticipated that it would be necessary to execute the training &amp; learning plan specially designed for the students majoring in cosmetology and develop a final training program after assessment and verification.

Stability of Running Stride Biomechanical Parameters during Half-Marathon Race

This study explores the stability of biomechanical parameters of the running stride of male trained athletes during a half-marathon competition. Using a field-based descriptive design, eight male athletes from a local training group were monitored throughout an official half-marathon race under identical conditions, assessing biomechanical parameters including ground contact time (GCT), leg spring stiffness (LSS), vertical oscillation (VO), and stride length (SL) recorded via the Stryd Summit Power Meter. A repeated measures analysis of variance (RM ANOVA) was conducted to detect significant changes in biomechanical parameters as the race progressed. Results demonstrated minimal changes in all parameters, with no significant differences observed for GCT (F = 0.96, p = 0.38), VO (F = 0.23, p = 0.87), and SL (F = 1.07, p = 0.35), and a small (η2 = 0.004) yet statistically significant difference in LSS (F = 5.52, p = 0.03) between the first and second segments, indicating that athletes were able to maintain stable biomechanical parameters throughout the race. The conclusion highlights the need for personalized training programs tailored to the unique biomechanical adaptations and demands of endurance running.

Body Safety Training Program for Children with Disabilities; A Case Study of Department of Special Education Punjab Pakistan

The current study aimed to implement and evaluate the effectiveness of a sexual abuse prevention training program to increase personal body safety skills in children having intellectual, hearing, visual or physical disability. A quasi-experimental design with Within-subject was used in which participants were compared on pre-test and post-test. A sample of 40 participants (n=20 boys, n=20 girls), age range 06-19, attended 8-week training were taken purposively. Personal Body Safety Training Program was used as school-based program which delivered the child sexual abuse prevention knowledge and self-protection school-based What If’ Situations Test used as pre and post result measure. The ‘What If’ Situations Test (WIST-III-R) contains six scales designed to assess children’s abilities to recognize, resist, and report inappropriate touching. Paired sample t test, independent t test and ANOVA were used for statistical analysis. The Results showed that by attending such programs, children with disabilities could increase their knowledge of personal safety skills and apply this knowledge in their day-to-day lives. Results showed significant differences between pre and post scores of participants after undergoing the Personal Body Safety Training Program. Moreover, a significant difference was found between participants disability wise in pretest and posttest scores but there was no significant difference observed between boys and girls. The study inculcated that the training contributed positively to the children’s sense of personal space and reporting skills.

Influence of error-augmentation on the dynamics of visuomotor skill acquisition: insights from proxy-process models.

Our study addresses the critical question of how learners acquire skills without the constant crutch of feedback, using a specialized training approach with intermittent feedback. Despite recognized benefits in skill retention, the underlying mechanisms of intermittent feedback in motor control neuroscience remain elusive. Leveraging a previously published dataset from visuomotor learning experiments with intermittent feedback, we tested a wide range of proxy-process models that posit the presence of an inferred error signal even when an explicit sensory performance is not present. The model structures encompassed a spectrum from first-order to higher-order variants, incorporating both constant and error-dependent rates of change in error. Furthermore, these proxy-process models investigated the impact of error-augmentation (EA) training on visuomotor learning dynamics. Rigorous cross-validation consistently identified a second-order proxy-process model structure accurately predicting motor learning across subjects and learning tasks. Model parameters elucidated the varying influences of EA settings on the rates of change in error, inter-trial variability, and steady-state performance. We then introduced a dynamic-Proxy support Multi-Rate Motor Learning (dPxMRML) model, which shed light on EA's effects on the fast and slow learning dynamics. The dPxMRML model accurately predicted subjects' performance during and beyond training phases, highlighting EA settings conducive to long-term retention. This research yields crucial insights for personalized training program design, applicable in neuro-rehabilitation, sports, and performance training.NEW & NOTEWORTHY Breaking new ground in motor learning, our research unveils the intricacies of skill acquisition without continuous feedback. By using a specialized training approach with intermittent feedback, our study reveals the previously elusive mechanisms behind this process. The introduction of innovative proxy-process models, particularly the dynamic-Proxy support Multi-Rate Motor Learning (dPxMRML) model, brings a fresh perspective to understanding the impact of error-augmentation (EA) training on learning and retention of motor skills.

Training mode of university dance performers based on sequential quadratic programming algorithm

Dance performance is an art form, which needs to cultivate students’ dance skills, artistic accomplishment and stage performance ability. Sequential quadratic programming algorithm is an optimization algorithm that can be used to solve complex optimization problems. In this paper, Sequential Quadratic Programming (SQP) is applied to explore the training mode of dance performers in colleges to help dance performers develop the optimal training plan and program. Aiming at the problems existing in the training mode of dance performance talents in colleges, this paper put forward an optimization method based on SQP algorithm, and implemented its optimization scheme in actual colleges. In the planning of dance performance talent training mode, particle swarm optimization (PSO) is used to optimize SQP algorithm, so that it can have higher planning efficiency. This paper studied the goal and index system of the training of dance performance talents in colleges, generated a personalized training program, and further improved the scientific and practical effectiveness of the training mode. This paper investigated the current situation of dance performance talent training in several dance schools in a certain province of China. The survey data include practical curriculum planning, teachers’ teaching philosophy and teaching content. Combined with SQP algorithm, the teaching and training program is optimized. After evaluation, it can be concluded that the SQP algorithm optimized by PSO shows good stability and accuracy. It can calculate the optimal solution of the cultivation scheme, and when calculating the optimal solution, the running time of the Central Processing Unit (CPU) was only 5.6 s, which can further improve the efficiency of the planning. Finally, through the satisfaction and resource utilization test, it can be found that the number of people who are very satisfied with the teaching content of the dance performance talent training program optimized by SQP increased from 38.4% to 52.4%. After optimization, the average utilization rate of teaching resources reached 88.1%. It can be concluded that SQP algorithm can provide scientific basis for dance education institutions to improve the training mode of dance talents. This can help dance education institutions better improve the training mode, and improve the overall quality and dance skills of dance students.

Design of Badminton Technical Movement Recognition System Based on Improved Agnes Algorithm

The Badminton Technical Movement Recognition System is a technology-driven solution aimed at identifying and analyzing various technical movements performed by badminton players during gameplay. Leveraging advanced sensors, motion tracking devices, and machine learning algorithms, this system captures and interprets data related to player movements, racket swings, footwork, and other key actions on the court. By analyzing this data in real-time or post-match, coaches, players, and analysts can gain valuable insights into performance, technique, and areas for improvement. The system's ability to recognize and quantify specific movements allows for detailed performance assessment, personalized training programs, and strategic game planning. The Badminton Technical Movement Recognition System serves as a powerful tool for enhancing player development and optimizing performance in the sport of badminton. The paper presents a comprehensive study on the application of the Multi-Modal AGNES algorithm across diverse domains, encompassing movement pattern estimation, modal feature extraction, coordinate estimation, and badminton feature estimation. Through rigorous experimentation and analysis, the algorithm's efficacy in accurately identifying movement patterns, robustly extracting features from varied datasets, precisely localizing objects in three-dimensional space, and proficiently estimating badminton-specific metrics has been demonstrated. Through rigorous experimentation and analysis, the algorithm's efficacy in accurately identifying movement patterns, robustly extracting features from varied datasets, precisely localizing objects in three-dimensional space, and proficiently estimating badminton-specific metrics has been demonstrated. For instance, the algorithm achieved an average accuracy of 90% in classifying movement patterns in a dataset of 1000 observations. Additionally, it accurately estimated modal features such as swing speed, racket angle, and shuttlecock speed with a mean error rate of less than 5%.

Cognitive effort detection for tele-robotic surgery via personalized pupil response modeling.

Gaze tracking and pupillometry are established proxies for cognitive load, giving insights into a user's mental effort. In tele-robotic surgery, knowing a user's cognitive load can inspire novel human-machine interaction designs, fostering contextual surgical assistance systems and personalized training programs. While pupillometry-based methods for estimating cognitive effort have been proposed, their application in surgery is limited by the pupil's sensitivity to brightness changes, which can mask pupil's response to cognitive load. Thus, methods considering pupil and brightness conditions are essential for detecting cognitive effort in unconstrained scenarios. To contend with this challenge, we introduce a personalized pupil response model integrating pupil and brightness-based features. Discrepancies between predicted and measured pupil diameter indicate dilations due to non-brightness-related sources, i.e., cognitive effort. Combined with gaze entropy, it can detect cognitive load using a random forest classifier. To test our model, we perform a user study with the da Vinci Research Kit, where 17 users perform pick-and-place tasks in addition to auditory tasks known to generate cognitive effort responses. We compare our method to two baselines (BCPD and CPD), demonstrating favorable performance in varying brightness conditions. Our method achieves an average true positive rate of 0.78, outperforming the baselines (0.57 and 0.64). We present a personalized brightness-aware model for cognitive effort detection able to operate under unconstrained brightness conditions, comparing favorably to competing approaches, contributing to the advancement of cognitive effort detection in tele-robotic surgery. Future work will consider alternative learning strategies, handling the difficult positive-unlabeled scenario in user studies, where only some positive and no negative events are reliably known.

Improving diet through a recommendation system using physical activity data and healthy diet indexes of female futsal players

Sports data analysis can revolutionize how coaches and athletes train, leading to enhanced skills and improved team outcomes by providing valuable insights into performance metrics, enabling personalized training programs, and fostering a data-driven approach to decision-making. Sports data analysis has evolved in tandem with the increasing availability of data and the widespread adoption of data-driven practices in sports. Futsal stands out as one of the most challenging team sports to analyze, particularly in the case of female futsal, which has received limited research attention. The high-paced nature of the game, the smaller playing area, and the emphasis on close ball control necessitate a specialized approach to data collection and analysis. This situation presents a significant opportunity for in-depth exploration. By recognizing a gap in utilizing nutrition and physical activity data for female futsal players, researchers embarked on the journey to design and develop a recommendation system based on diet and training data. The study enlisted 14 talented female futsal players, and data was collected using an advanced LPS (Local Positioning System) device. Despite having limited player information, researchers successfully addressed the well-known “cold start” challenge. They created a content-based filtering recommendation system that accurately predicts the caloric expenditure of futsal players, achieving an impressive determination coefficient of 0.94. This innovative system has the potential to revolutionize the training methods of female futsal players, paving the way for advancements in sports data analysis and opportunities to enhance the visibility of women’s futsal on a broader stage.