Daily Life Tasks Research Articles

Predictive Utility of Four Instrumental Activities of Daily Living Assessments and Cognitive Status Changes Among Cognitively In-Tact Older Adults

Purpose To examine the factor structure and predictive utility of four instrumental activities of daily living (IADL) measures to identify cognitive status changes among older adults enrolled in the ACTIVE Trial. Major Findings Extracted factors represented IADL instruments. Baseline performance on the Everyday Problems Test (EPT) predicted 5-year MMSE scores (est. = .08, p < .001), adjusting for demographic and health covariates, baseline MMSE, self-reported IADL function, and the performance-based Observed Tasks of Daily Living and Timed Instrumental Activities of Daily Living assessments. For each 1-point increase in baseline EPT financial performance, the odds of cognitive impairment decreased by 26%. Conclusions IADL functional domains were not interchangeable across instruments. The EPT demonstrated better predictive utility compared to other instruments for detecting subsequent cognitive decline/impairment. This is a useful step in developing effective tools to detect early functional deficits indicating subsequent clinical impairment. Advanced Cognitive Training for Independent and Vital Elderly Trial (ACTIVE), NCT00298558, https://clinicaltrials.gov/study/NCT00298558 .

Performance fatigability in adults with spinal muscular atrophy treated long-term with nusinersen.

Persons with spinal muscular atrophy (pwSMA) report progressive muscle weakness but also reduced endurance when performing repetitive tasks in daily life, referred to as "performance fatigability" (PF). Data regarding the effects of the new disease-modifying drugs on PF are scarce. Thus, our main objective was to examine PF in adult ambulatory pwSMA treated long-term with nusinersen. Six-minute walk test (6MWT) data from 14 adult pwSMA treated with nusinersen for up to 70 months were retrospectively analyzed to determine PF. Performance fatigability was defined as the percentage change in the distance covered between the last and first minute of the 6MWT. In addition, relationships between PF and other clinical features were assessed. Performance fatigability was found in 12/14 pwSMA (85.7%) prior to treatment. The mean distance walked in the sixth minute (71.1 m) was shorter than the distance covered in the first minute (81.8 m), corresponding to a mean PF of 13.1% (95% confidence interval (CI): 6.5-19.6, p = .0007). During treatment with nusinersen, there was a mean reduction in PF of 5.6% (95% CI: -10.0 to -1.3, p = .0148). We found no relationship between PF and fatigue as measured by the Fatigue Severity Scale. This study demonstrates the presence of PF as an independent component of motor impairment and as a potential therapeutic target in our cohort of adult ambulatory pwSMA. Furthermore, the observations in our cohort suggest that nusinersen may have a beneficial effect on PF.

Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT

ChatGPT's impressive performance enables users to increasingly apply it to a variety of scenarios. However, previous studies investigating people's perceptions or attitudes towards ChatGPT have not considered the effects of the usage scenario. This paper aims to extract the representative scenarios of ChatGPT, explore differences in user perceptions for each scenario, and provide a policy support model. We extracted five scenarios by collecting 50 open-ended responses from Mturk, including “Scenario 1: Daily life tasks,” “Scenario 2: Enhance efficiency (work and education purposes),” “Scenario 3: Replace manpower (work and education purposes),” “Scenario 4: Browsing and general information seeking,” “Scenario 5: Enjoyment.” Subsequently, we identified four key variables to be tested (i.e., information quality, perceived risk, attitude, and policy support), and classified usage scenarios into different categories according to the perception variables measured via an online survey (n = 514). Finally, we built a model including the four variables and tested it for each scenario. The results of this study provide deep insights into user perceptions towards ChatGPT in distinct scenarios.

Long COVID Brain Fog Treatment: Findings from a Pilot Randomized Controlled Trial of Constraint-Induced Cognitive Therapy.

Long COVID brain fog is often disabling. Yet, no empirically-supported treatments exist. This study's objectives were to evaluate feasibility and efficacy, provisionally, of a new rehabilitation approach, Constraint-Induced Cognitive Therapy (CICT), for post-COVID-19 cognitive sequelae. Sixteen community-residents ≥ 3-months post-COVID-19 infection with mild cognitive impairment and dysfunction in instrumental activities of daily living (IADL) were enrolled. Participants were randomized to Immediate-CICT or treatment-as-usual (TAU) with crossover to CICT. CICT combined behavior change techniques modified from Constraint-Induced Movement Therapy with Speed of Processing Training, a computerized cognitive-training program. CICT was deemed feasible if (a) ≥80% of participants completed treatment, (b) the same found treatment highly satisfying and at most moderately difficult, and (c) <2 study-related, serious adverse-events occurred. The primary outcome was IADL performance in daily life (Canadian Occupational Performance Measure). Employment status and brain fog (Mental Clutter Scale) were also assessed. Fourteen completed Immediate-CICT (n=7) or TAU (n=7); two withdrew from TAU before their second testing session. Completers were [M (SD)]: 10 (7) months post-COVID; 51 (13) years old; 10 females, 4 males; 1 African American, 13 European American. All the feasibility benchmarks were met. Immediate-CICT, relative to TAU, produced very large improvements in IADL performance (M=3.7 points, p<.001, d=2.6) and brain fog (M=-4 points, p<.001, d=-2.9). Four of five non-retired Immediate-CICT participants returned-to-work post-treatment; no TAU participants did, p=.048. CICT has promise for reducing brain fog, improving IADL, and promoting returning-to-work in adults with Long COVID. Findings warrant a large-scale RCT with an active-comparison group.

Human reasoning on social interactions in ecological contexts: insights from the theory of mind brain circuits.

The relationship between neural social cognition patterns and performance on social cognition tasks in daily life is a topic of debate, with key consideration given to the extent to which theory of mind (ToM) brain circuits share properties reflecting everyday social functioning. To test the efficacy of ecological stimuli in eliciting brain activation within the ToM brain circuits, we adapted the Edinburgh Social Cognition test social scenarios, consisting of dynamic ecological contextually embedded social stimuli, to a fMRI paradigm. Forty-two adults (21 men, mean age ± SD = 34.19 years ±12.57) were enrolled and underwent an fMRI assessment which consisted of a ToM task using the Edinburgh Social Cognition test scenarios. We used the same stimuli to prompt implicit (movie viewing) and explicit (silent and two-choice answers) reasoning on cognitive and affective mental states. The fMRI analysis was based on the classical random effect analysis. Group inferences were complemented with supplemental analyses using overlap maps to assess inter-subject variability. We found that explicit mentalizing reasoning yielded wide neural activations when two-choice answers were used. We also observed that the nature of ToM reasoning, that is, affective or cognitive, played a significant role in activating different neural circuits. The ESCoT stimuli were particularly effective in evoking ToM core neural underpinnings and elicited executive frontal loops. Future work may employ the task in a clinical setting to investigate ToM network reorganization and plasticity.

Caregivers of Children with Autism Are Better, Despite Their Poorer Memory, Completing Tasks of Daily Living

ABSTRACT Familial caregivers typically have more trouble completing fundamental tasks of daily living compared with non-caregivers. The ability to complete tasks of daily living relies on prospective memory (PM). PM, however, is typically poorer in familial caregivers. It would make sense, therefore, that poorer PM would mediate caregivers’ greater difficulties completing tasks of daily living. This was explored here. A sample of n = 500 participants (196 caregivers of autistic children and 304 parents of non-autistic children) completed a questionnaire assessing PM failures. An abbreviated version of the Everyday Problems Test (EPT) was used to measure participants’ ability to complete tasks of daily living, such as managing medications and paying bills. Caregivers reported more PM failures. EPT scores were lower in caregivers, reflecting fewer problems completing tasks of daily living. PM failures were unrelated to EPT scores, ruling out mediation. Caregivers of autistic children were better at completing basic tasks of daily living despite their poorer PM. Whether quality of life for the autistic child might be related to caregivers’ ability to complete tasks of daily living should be the focus of future research.

Data Visualization &amp; Analysis of Disease X [Nipah Virus

Abstract: This article is about performing mathematical analysis and visualization of data that was researched and collected about Nipah Virus; which is treated as Disease X[deadly disease] by World Health Organization. It includes information about the field of Data Analysis and Visualization techniques which associate closely with current era and the project itself. Furthermore, there is description which provides information about the main application developed and implemented. The variety of research papers that were made use of, along-with significantly valuable data are cited too. Data Analyses has very close connection with data science, however, the key difference lies in its actual working, as Data Analysis makes extensive use of historically available data &amp; generates important insights from them, which are very considerable for future operations. Thus, due to such complex level usage, Data Analysis has gained recognition in the recent years, which makes it important for professionals to add it as a part of daily life tasks. When it comes to real time usage, Data Analyses is used for many purposes which includes but is not limited to customer preferences, finance sectors, research in markets and also in assessment of variety of risks. Data Analysis thus, has introduced a massive number of futuristic achievable tasks by taking important notes from the ones that were conducted in the past

SEMG biceps and triceps effort signals classification using 1D-CNN convolution

In this paper, we present a system for acquiring and classifying surface physiological muscles signals (sEMG) for the biceps and triceps muscles during movement or work, as normal or aggressive effort in order to control and command the aid prostheses to intervene only during aggressive efforts. Thus, the main objective of our work is to developing and improving the performance of the hand prostheses for daily life tasks for elderly persons or for persons who have hand muscle failure. Our contribution consists of detecting and classifying physiological signals of biceps and triceps muscles hand as normal and aggressive efforts, for that we proposed a technique based on a 1D Convolutional Neural Network (CNN-1D) using the Wavelet Scattering Transform as the sEMG feature extraction technique. Our methodology is carried out in two steps: the first step is crucial to build a database for deep learning network for sEMG signals classification based on fifty-five volunteers spanning various ages and genders. The second step achieves the sEMG signals effort classification as normal or aggressive efforts based on the classification network produced based on sEMG signal sequences treated by the WST. The obtained results for the training and validation sets indicate perfect performance of the proposed technique, with an accuracy, precision, sensitivity, and specificity of 100% for the training process, and 99.3%, 98.6%, 100% and 98.7% for the accuracy, precision, sensibility and specificity respectively. It is important to note that while perfect metrics on the training and the test set might suggest excellent model learning.

Intuitive control of additional prosthetic joints via electro-neuromuscular constructs improves functional and disability outcomes during home use—a case study

Objective. The advent of surgical reconstruction techniques has enabled the recreation of myoelectric controls sites that were previously lost due to amputation. This advancement is particularly beneficial for individuals with higher-level arm amputations, who were previously constrained to using a single degree of freedom (DoF) myoelectric prostheses due to the limited number of available muscles from which control signals could be extracted. In this study, we explore the use of surgically created electro-neuromuscular constructs to intuitively control multiple bionic joints during daily life with a participant who was implanted with a neuromusculoskeletal prosthetic interface. Approach. We sequentially increased the number of controlled joints, starting at a single DoF allowing to open and close the hand, subsequently adding control of the wrist (2 DoF) and elbow (3 DoF). Main results. We found that the surgically created electro-neuromuscular constructs allow for intuitive simultaneous and proportional control of up to three degrees of freedom using direct control. Extended home-use and the additional bionic joints resulted in improved prosthesis functionality and disability outcomes. Significance. Our findings indicate that electro-neuromuscular constructs can aid in restoring lost functionality and thereby support a person who lost their arm in daily-life tasks.

Exploring the Role of Video Playback Visual Cues in Object Retrieval Tasks.

Searching for objects is a common task in daily life and work. For augmented reality (AR) devices without spatial perception systems, the image of the object's last appearance serves as a common search assistance. Compared to using only images as visual cues, videos capturing the process of object placement can provide procedural guidance, potentially enhancing users' search efficiency. However, complete video playback capturing the entire object placement process as visual cues can be excessively lengthy, requiring users to invest significant viewing time. To explore whether segmented or accelerated video playback can still assist users in object retrieval tasks effectively, we conducted a user study. The results indicated that when video playback is covering the first appearance of the object's destination to the object's final appearance (referred to as the destination appearance, DA) and playing at normal speed, search time and cognitive load were significantly reduced. Subsequently, we designed a second user study to evaluate the performance of video playback compared to image cues in object retrieval tasks. The results showed that combining the DA playback starting point with images of the object's last appearance further reduced search time and cognitive load.

Implementation of an innovative ERAS protocol in cardiac surgery: A qualitative evaluation from patients' perspective.

Enhanced recovery after surgery (ERAS) protocols aim to optimize the recovery process for patients after surgical interventions and focus on patient-centered care. In cardiac surgery, the ERAS concept is still in its early stages. Our university hospital has implemented an innovative ERAS protocol for minimally invasive heart valve surgery since 2021. Therefore, our study aimed to comprehensively assess the patient experience within this newly established ERAS protocol and focused on exploring and understanding the nuances of optimal healthcare delivery under the ERAS framework from the unique perspective of the patients undergoing cardiac surgery. Qualitative research was conducted using semi-structured interviews. Data was analyzed using Kuckartz´s qualitative content analysis. The following main themes emerged from the 12 completed patient interviews: 1) information and communication flow, 2) perioperative patient care, and 3) rehabilitation. Patients found the pre-operative patient education and preconditioning very helpful. Patients were satisfied with the flow of information throughout the whole perioperative care process. Most patients expressed a need for more information about the course of surgery. The intensity of care provided by different professions was perceived as optimal. The support and inclusion of relatives in perioperative care were considered crucial. Patients appreciated the direct transfer to the rehabilitation and mainly were able to cope with daily life tasks afterward. In summary, all patients experienced the ERAS protocol positively, and their healthcare process was well established. Active inclusion and education of patients in their treatment can improve patient empowerment. Two further aspects that deserve major consideration in the healthcare process are the inclusion of relatives and interprofessional cooperation.

Age-Related Changes in Functional Skills and Daily Life Task Management Among Autistic Youth.

Autistic youth who graduate with a high school diploma may experience challenges in acquiring functional skills for everyday independence. Few studies have focused on how their functional and self-management skills change during the transition to adulthood. To examine cross-sectional differences and longitudinal changes in the functional and self-management skills of transition-age autistic youth. Exploratory longitudinal study (18-mo follow-up). Community. Autistic high school students who graduated with a high school diploma and their parents (N = 50). Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (ASD). Older youth (ages 18-20 yr) had significantly lower normative Social/Cognitive and Responsibility domain scores (i.e., self-management) than youth ages 14-17 yr. Approximately 2 yr later, youth in both age groups significantly improved in scaled scores on the Daily Activities and Responsibility domains. Autistic youth's functional and self-management skills fell below those of nonautistic peers; however, these skills do change over time and are therefore appropriate targets for intervention. Plain-Language Summary: The findings of this study highlight the importance of focusing on the functional and self-management skills of autistic youth as part of their transition to adulthood. Occupational therapists can play a valuable role in helping autistic youth to achieve independence as adults by assessing their functional needs and strengths and by providing client-centered interventions.

A Serious Game for Cognitive Stimulation of Older People With Mild Cognitive Impairment: Design and Pilot Usability Study.

Cognitive stimulation of older people helps prevent, and even treat, age-related diseases, such as mild cognitive impairment. Playing games reduces the probability of experiencing this pathology, which is related to the loss of the ability to carry out some instrumental activities of daily living. This work describes the design and development of a serious game for the cognitive stimulation of older people, with exercises related to the daily life task of shopping. A pilot study for its preliminary usability validation is also presented. The designed serious game includes 4 exercises consisting of shopping in a hypermarket, ordering products, making payments, and organizing the purchase, thus dealing with the most frequent cognitive problems of older people associated with episodic declarative memory, naming, calculation, and organization, respectively. A total of 19 older people participated in the pilot study for the usability validation of the serious game. They indicated that they like the aesthetic and interesting topic of the game. They reported that it provides a high level of entertainment and could be useful in daily life for mental stimulation. The participants found the serious game to be intuitive, but the ease of use and readability of the instructions could be improved. This study suggests that the innovative serious game developed could be accepted by older people for their cognitive stimulation to prevent or treat mild cognitive impairment, although a long-term intervention study should be performed as future work. Its ecological validity design, with everyday tasks, adaptable levels of difficulty, and motivational mechanisms, is a differentiating factor compared to similar serious games.

The Effects of a Novel Treatment for Hemianopic Dyslexia on Reading, Symptom Load, and Return to Work.

Reading disorders are frequent in homonymous hemianopia and are termed hemianopic dyslexia (HD). The existing treatment methods have shown improvements in reading speed, accuracy, and eye movements during reading. Yet, little is known about the transfer effects of such treatments on functional, reading-related tasks of daily life, e.g., reading phone numbers, finding typing errors or text memory. In addition, little is known about the effects on symptom load and return to work. Here, we examined a new reading therapy entailing three different methods-floating text, rapid serial visual presentation (RSVP) of single words, and the moving window technique-and evaluated their efficacy. Twenty-seven chronic HD patients were treated in a baseline design with treatment-free intervals before and after a treatment period of several months. HD was assessed with a battery of reading tests and a questionnaire about subjective symptom load at four time-points. Patients received all three reading therapies over several weeks. The results show significant and stable improvements during treatment within all measures. Approximately 63% of treated patients returned to work after the therapy. We concluded that our novel HD treatment led to widespread and lasting improvements in reading performance, generalized to functional reading tasks and reduced symptom load, and the majority of patients were able to return to work.

Comparing Selected Parameters of Plantar Foot Pressure Distribution in Healthy Versus Genu Valgum Students During Walking on a Slope

Background and Aims Moving on steep surfaces is a demanding task in daily life, especially during walking. It poses challenges for the human locomotor system, especially for those with neuromuscular injuries or disease. Therefore, this study aimed to compare plantar pressure variables in healthy versus genu valgum students during walking on a sloped surface. Methods This applied study was quasi-experimental and causal-comparative. The samples comprised 15 girls with genu valgum knees (between medial malleolus distance of 3.90±0.44 cm) and 15 with healthy knees (between medial malleolus distance of 0.73±0.29 cm). Plantar pressure variables were evaluated in 10 areas of the foot on the sloping surfaces at 0%, ±8%, ±10%, and ±20% in the stance phase of walking. A 2-way analysis of variance with repeated measures was used for statistical analysis. The significant level was set at 0.05. Results Maximum pressure was only significant in the areas of the tarsal 1, metatarsal 2-4, and lateral rearfoot on the slopes of +8, -15, and -20 between the genu valgum and the healthy groups. The pressure was higher in the genu valgum group. Changes in the center of foot pressure on the positive and negative slopes of 8 and 15 in the genu valgum group compared to the healthy in the mediolateral direction significantly trended toward negative values. Conclusion The study results showed that changes in the center of pressure increase the amount of foot supination by increasing the slope and decrease the amount of ankle pronation by increasing the negative slope. Therefore, slopes of -20, -15, and -8 can be suggested to improve the distribution pattern of plantar pressure in adolescent girls with genu valgum knee. However, further study in this area is warranted.

Integrate Yolov8 Algorithm For Rupiah Denomination Detection In All-In-One Smart Cane For Visually Impaired

The eyes are crucial tools for human observation and perception, facilitating various tasks in daily life. Individuals, including those with visual impairments or blindness, engage in currency transactions, posing challenges in recognizing notes and preventing mishaps with counterfeit money. Despite government efforts, features like embossing on banknotes have limited effectiveness due to the circulated currency's disheveled condition. Addressing the visually impaired community's needs is imperative. An innovative solution, the "all-in-one smart white cane," integrated with machine learning supports daily activities, enhancing independence for visually impaired individuals. The YOLOv8 algorithm is employed for the precise detection of monetary denominations, subsequently recorded through a camera and seamlessly integrated into a smart cane, resulting in a consolidated device. This device, designed with standout features, excels in detecting Indonesian Rupiah banknote denominations. Detection performance testing, incorporating methods like object rotation, utilized a dataset divided into training (70%), validation (20%), and test (10%) segments. Modifications to contrast and variability rotation are essential in the context of real-time nomination recognition. These adjustments are implemented to ensure accurate and swift identification in dynamic, real-world scenarios. Testing results reveal a 99% average accuracy in recognizing currency note denominations, presenting an effective solution for the visually impaired community.

Exploratory analysis of swallowing behaviour in community-dwelling older adults using a wearable device: Differences by age and ingestant under different task loads.

To develop a new method of evaluating swallowing behaviour. Sixty-nine healthy participants were divided into a younger (16 males and 16 females, mean age 39.09 ± 12.16 years) and older (18 males and 19 females, mean age 71.43 ± 5.50 years) group. The participants ingested water and yoghurt twice (directed and free swallowing) at rest and after performing simple daily life tasks (calculation and exercise). To measure swallowing frequency, we employed a smartphone-based, portable and neck-worn swallowing-sound-monitoring device. This device monitors swallowing behaviour continuously by collecting biological sounds from the neck without imposing behavioural restrictions. A neural network model of swallowing sound identification by deep learning was used for the subsequent evaluation. This device was used to obtain two types of saliva-swallowing sounds associated with different ingestants, at rest and after performing a stimulating task. Furthermore, we assessed the associated subjective psychological states. The younger group showed a higher directed swallowing frequency (for both water and yoghurt) than the older group did. Regarding the type of ingestant, the swallowing frequency for yoghurt was higher during free swallowing in both the young and the older groups. 'Feeling calm' was reported significantly more often in the older group after swallowing yoghurt following exercise. Swallowing status in daily life was measured non-invasively using a wearable mobile device. It is important to consider the type of ingestant, daily living activities, and age when assessing swallowing.

Virtual Smartphones: Exploring the Evolution and Impact of Virtualization Technology on Mobile Devices

With the ability to fully immerse users in a virtual environment, virtual reality (VR) has grown in popularity among consumers in recent years. Technology has grown to be one of the most significant tools for communication, which is to be expected to change how companies advertise their goods and services to prospective clients. The purpose of this study is to look at how virtual smartphones: exploring the evolution and impact of virtualization technology on mobile devices perceived usefulness and enjoyment influence customers’ future intention. Nowadays, smartphones are used in the majority of human tasks in daily life, making work easier for people. The work may involve communicating with a different business via video conferencing, emailing documents, using a Google Map to find a place, etc. We all know that smartphones are useful, but occasionally users find it difficult to use them because of a lack of resources. Less storage space, a slow processor, low battery life, etc. are some of the issues. In this work, we present VSP, or Virtual Smart Phone, which is essentially a step toward connecting the real and virtual worlds over the internet with a small projector, camera, speaker, microphone, and cloud computing technology.

MCSG: A Morphology Configurable Soft Gripper With Self-Adaption Modular Composite Finger

Current soft grippers lack active variable stiffness composite fingers and flexible modular configuration, which limit their robust grasp abilities. We proposed a morphology configurable soft gripper (MCSG) assembled with self-adaption modular composite fingers (SAMCFs), whose grasping force can be up to 193N. The SAMCF with three actuator modules embedded arranged sponge and paperboard and one sensor module made with pre-inflated air chamber is developed to perform soft grasp with high load capacity and self-sensing ability. Through assembling corresponding SAMCFs to main frame, MCSGs with dual fingers (MCSG-DF), with three fingers (MSCG-TF), with four fingers (MSCG-FF) and with six fingers (MSCG-SF) are manufactured to adapt for grasping objects with different shapes, sizes, and weights. A pneumatic control system with hybrid valve combination is designed to output air pressure from negative to positive to perform contraction and elongation motion simultaneously, and output positive pressure to provide preset pressure for sensor modules. Finally, a multi-channel pneumatic control system is developed to control MCSGs to grasp a variety of objects, such as cherry tomato (10g), egg (170g), banana (155g), stool (3570g), etc. Furthermore, MCSGs can complete complicated tasks in daily life, such as water decanting, bottle cap unscrewing, mobile phone charging and water pumping.

Intelligent diagnosis system based on artificial intelligence models for predicting freezing of gait in Parkinson's disease.

Freezing of gait (FoG) is a significant issue for those with Parkinson's disease (PD) since it is a primary contributor to falls and is linked to a poor superiority of life. The underlying apparatus is still not understood; however, it is postulated that it is associated with cognitive disorders, namely impairments in executive and visuospatial functions. During episodes of FoG, patients may experience the risk of falling, which significantly effects their quality of life. This research aims to systematically evaluate the effectiveness of machine learning approaches in accurately predicting a FoG event before it occurs. The system was tested using a dataset collected from the Kaggle repository and comprises 3D accelerometer data collected from the lower backs of people who suffer from episodes of FoG, a severe indication frequently realized in persons with Parkinson's disease. Data were acquired by measuring acceleration from 65 patients and 20 healthy senior adults while they engaged in simulated daily life tasks. Of the total participants, 45 exhibited indications of FoG. This research utilizes seven machine learning methods, namely the decision tree, random forest, Knearest neighbors algorithm, LightGBM, and CatBoost models. The Gated Recurrent Unit (GRU)-Transformers and Longterm Recurrent Convolutional Networks (LRCN) models were applied to predict FoG. The construction and model parameters were planned to enhance performance by mitigating computational difficulty and evaluation duration. The decision tree exhibited exceptional performance, achieving sensitivity rates of 91% in terms of accuracy, precision, recall, and F1- score metrics for the FoG, transition, and normal activity classes, respectively. It has been noted that the system has the capacity to anticipate FoG objectively and precisely. This system will be instrumental in advancing consideration in furthering the comprehension and handling of FoG.