Postural Assessment Research Articles

Establishing the Reliability of the GaitON® Motion Analysis System: A Foundational Study for Gait and Posture Analysis in a Healthy Population

Background: Gait and posture analysis plays a crucial role in understanding human movement, with significant applications in rehabilitation, sports science, and clinical settings. The GaitON® system, a 2D motion analysis tool, provides an accessible and cost-effective method for assessing gait and posture. However, its reliability in clinical practice, particularly for intra-rater consistency, remains to be evaluated. This study aims to assess the intra-rater reliability of the GaitON® system in a healthy population, focusing on gait and posture parameters. Methods: A total of 20 healthy participants (10 males and 10 females) aged 18 to 50 years were recruited for the study. Each participant underwent gait and posture assessments using the GaitON® system on two separate occasions, spaced one week apart. Video recordings from anterior and posterior views were used to analyze gait, while images from anterior, posterior, and lateral views were captured to assess posture with markers placed on key anatomical landmarks. The reliability of the measurements was analyzed using intraclass correlation coefficients (ICC), a standard error of measurement (SEM), and the smallest detectable difference (SDD) method. Results: The GaitON® system demonstrated excellent intra-rater reliability across a wide range of gait and posture parameters. ICC values for gait parameters, including hip, knee, and ankle joint angles, ranged from 0.90 to 0.979, indicating strong consistency in repeated measurements. Similarly, ICC values for posture parameters, such as the head alignment, shoulder position, and ASIS alignment, were above 0.90, reflecting excellent reliability. SEM values were low across all parameters, with the smallest SEM recorded for the hip joint angle (0.37°), and SDD values further confirmed the precision of the system. Conclusion: The GaitON® system provides reliable and consistent measurements for both gait and posture analysis in healthy individuals. Its high intra-rater reliability and low measurement error make it a promising tool for clinical and sports applications. Further research is needed to validate its use in clinical populations and compare its performance to more complex 3D motion analysis systems.

Assessment of Cervical Joint Position Sense and Head Posture in Individuals With Myogenic Temporomandibular Dysfunctions and Identifying Related Factors: A Case-Control Study.

Temporomandibular dysfunctions (TMDs) have the potential to cause changes in cervical muscle strength, muscle endurance and position sense by changing muscle activation patterns, especially as a result of forward head posture. The effects of TMDs on cervical joint position sense (CJPS) and head posture remain controversial. The aim of this study was to evaluate the head posture and CJPS of individuals with TMDs and compare them with healthy individuals. This research, which was designed as a case-control study, was concluded with the inclusion of total of 84 participants (42 individuals diagnosed with myogenic TMDs, 42 controls). The assessment of participants included pain severity, neck and jaw functionality and disability, CJPS, head posture and temporomandibular joint (TMJ) range of motion (ROM). Individuals with TMDs exhibited higher angular deviation in CJPS during flexion and extension (p < 0.001). Additionally, individuals with TMDs demonstrated higher TMJ pain, limitation and dysfunction severity, as well as a more limited TMJ ROM (p < 0.001). Head posture was similar between groups (p > 0.05). There is a significant relationship between VAS-TMJ with VAS-cervical, FAI, NDI, JFLS-8 and TMJ ROM (p < 0.05). Moreover, a significant correlation was observed between NDI with FAI and TMJ ROM (p < 0.05). These results indicate that in addition to higher pain severity, disability and lower jaw ROM, CJPS of individuals with TMDs is also negatively affected. Also, parameters related to disability and functionality of cervical and TMJ were significantly correlated. Further studies are needed to determine the factors contributing to these results.

The standard posture is a myth: a scoping review.

The standard posture described in Kendall's manual is commonly used for postural assessment. However, no bibliographic reference was provided to support its use. To identify the original source and the procedure followed for the design of that posture and to compare it with current literature on the subject. In accordance with the PRISMA Extension for Scoping Reviews recommendations, PubMed and Scopus were searched using the terms "standing posture", "plum line," and "gravity line". Publications in English, French, German, or Spanish that referred to posture in adults without pathology were included. Six articles and 3 books were included in the final analysis. An identical posture to that described in Kendall's manual was identified in an early 19th-century work carried out with the unrealistic objective of maintaining static bipedal standing without muscular support, and including several anatomical misconceptions. Furthermore, the "ideal alignment" described in Kendall's manual does not correspond to the actual line of gravity, the comfortable posture, or natural postural compensations due to age, gender, or race. The utilization of this standard to ascertain postural deficiencies is not supported by current evidence and may result in numerous false positives, particularly in the elderly.

Balance and Walking Speed Outcomes in Individuals Receiving Inpatient Rehabilitation for Acute Cerebellar Stroke.

Cerebellar strokes account for only 2-3% of all strokes occurring annually in the United States but represent a disproportionally higher share of morbidity and mortality. Evidence examining the effect of inpatient rehabilitation on functional outcomes following a cerebellar stroke is limited. This study aimed to examine the effects of inpatient rehabilitation on balance and walking speed in individuals with cerebellar stroke. A secondary purpose of this study was to examine the length of inpatient rehabilitation stay of the included patients. A retrospective analysis was conducted using review of patient records during their inpatient rehabilitation stay from January 2021 to February 2022 at a large hospital system in the southeast United States. Balance and gait outcomes were examined on admission and discharge from inpatient rehabilitation that included physical therapy interventions. A paired t-test examined for changes in outcomes from admission to discharge. Pearson correlation examined for the association between length of stay and outcomes. A total of 15 records were reviewed. There were significant improvements in the Berg Balance Scale (BBS), Postural Assessment Scale for Stroke (PASS), and the 10-Meter Walk Test (10MWT) (p's < 0.01) from admission to discharge with large effect sizes (range d = 0.70-1.67) following inpatient rehabilitation. The average length of stay was 12.67 days (SD = 6.5) and the mean total hours of combined occupational, physical, and speech therapy was 27.33 (SD = 6.52) h. There was a moderate association between length of stay and PASS (r = 0.525, p = 0.04) and BBS (r = 0.546, p = 0.04) outcomes. Patients who underwent inpatient rehabilitation following acute cerebellar strokes demonstrated improvements in balance and gait speed. Study results could assist clinicians designing interventions for patients with cerebellar strokes in the inpatient rehabilitation setting.

Comparison Of Kinovea And Force Platforms For Postural Stability Assessment In Older Adults

Comparison Of Kinovea And Force Platforms For Postural Stability Assessment In Older Adults

Correlation between physical activity and anthropometric measurements among children and adolescents

ObjectivesThe purpose of this study was to measure the association between the level of physical activity and sedentary conditions with anthropometric measurements of children and adolescents. MethodsThis cross-sectional descriptive study consisted of a convenience sample of 400 children and adolescents from public schools in Itapevi-SP, Brazil. The Physical Activity Checklist Interview or LAF “Lista de Atividades Físicas” in a Brazilian version, was administered in a face-to-face interview on a school day and allowed assessment of sedentary behavior and physical activity on the previous day. Anthropometric measurements included body weight, sex, age, and lower limb posture. The participants were photographed in the frontal and sagittal planes, and the photos were analyzed using postural assessment software (PAS/SAPO). Pearson's tests were applied to analyze correlations. ResultsChildren and adolescents show a greater tendency toward valgus knees with increasing body mass (r = ‒0.33). On average, girls have a larger Q angle. Ankles are less likely to become valgus with increasing age and mass (r = ‒0.18 and ‒0.23, respectively). The horizontal alignment of the pelvis is mostly in anteversion with a significant increase with age (r = 0.27) and a slight increase with mass (r = 0.15). The knee and ankle tend to be less hyperextended and more dorsiflexed from the age of 10, with no correlation with the other variables. It was not possible to observe a clear relationship between the time spent in physical activity and sedentary behavior and the postural angles mentioned above. ConclusionAlthough correlations were found between age, sex and body mass, and postural angles, notably pelvis alignment, Q angle, knee, ankle, sex, and body weight, there was no correlation between the time spent in physical activity, sedentary behavior, and lower limb posture.

The relationship between static and dynamic postural deformities with pain and quality of life in non-athletic women

BackgroundThe assessment of the postural condition with functional tests are used with the least facilities in the shortest time, for a wide the range of movements for different parts of the body. Both static and dynamic posture measurements are predictive of injury. These two assessments provide different information regarding posture control. Also, with the advancement of this technology, the speed of posture assessment and deformity diagnosis can be increased and done with the minimum facilities. This can signal a new method for the quick diagnosis of abnormalities and ultimately prevent or correct psychological effects and musculoskeletal pain in the future. Because as seen according to the citations, abnormalities cause musculoskeletal pains, movement restrictions and ultimately affect the quality of life.MethodsThe current research is of the applied and semi-experimental type, and in terms of the results it is of the relational and correlational type. In this research, 148 non-Athletic women from Fardis City participated, in which the results obtained from the static evaluation was analyzed by the Posture Screen application after taking photos from four directions using a smartphone, and also the dynamic evaluation was identified and analyzed by the researcher using the overhead squat test of compensatory movements, with the data that from Cornell pain and quality of life SF-36 questionnaires was. Data description and correlation between variables were done with the η coefficient method.ResultsAccording to the findings there is a positive and significant correlation between the prevalence of uneven pelvic deformity and the amount of pain in non-athletic women (P = 0.036, η (148) = 0.17). In other words, pain increased significantly when the pelvis was changed from a normal position to a lateral deviation position. Also, there is a negative and significant relationship between the prevalence of deformity of knee movement, back arch, straight back, heel lift and the quality of life in non-athletic women (P = 0.020, η (148) = 0.19).ConclusionsAccording to the results, deformities have an effect on pain and the frequency of pain, on the other hand, in the present study, dynamic evaluations showed deformities more accurately than static evaluations.

Postural analysis of adolescent young athletes in different sports branches

The effects of posture on athletic performance have been the focus of attention of many researchers and the importance of body posture in achieving success has become undeniable. This study aimed to perform the postural evaluation of adolescent youth athletes who are trained in basketball, soccer, volleyball, and swimming branches. A total of 88 adolescent athletes (32 boys and 56 girls) with an average age of ±12.37 years, an average height of ±1.58 cm, an average body weight of ±48.2 kg, an average BMI of ±18.19 and an average training age of ±2.06 years from football, volleyball, and swimming branches actively active in Manisa and Bursa provinces participated in the study. Posture analysis of the athletes was performed using the Apecs-AI Posture Evaluation and Correction System® mobile posture application. The data obtained from the athletes were evaluated with the NewYork Posture Assessment Test (NYPD). The data obtained from the study were analyzed using the SPSS 22.0 package program. One-way Analysis of Variance (ANOVA) was used for independent samples. According to the results of the analysis, there was a significant difference between training age and NYPD scores according to branches (p&lt;.05). Significance was found between NYPD and body axis scores in volleyball and soccer athletes (p&lt;.05). There was no difference between NYPD and other variables in swimming and basketball. As a result, it is thought that the effect of the training age variable on posture structures differs specifically according to the branches, and posture is negatively affected as the training age increases in volleyball and soccer players.

Effects of anodal transcranial direct current stimulation on postural stability in subacute stroke: A randomized control trial.

Anodal transcranial direct current stimulation (tDCS) promotes neuromodulation and neuroplasticity in the brain. The aim of this study was to determine the long-term effects of the anodal tDCS on postural and trunk stability, physical performance, anticipatory postural adjustment and quality of life in sub-acute stroke patients. Thirty-six participants with sub-acute stroke were divided into experimental and control groups using sealed envelope randomization. Outcome measures comprised the Postural Assessment Scale for Stroke, Trunk Impairment Scale, Time Up and Go Test, Functional Reach Test, and Stroke-Specific Quality of Life Scale. Assessments were conducted at 0, 3, 6, 9, and 12 weeks. Within-group analysis revealed significant improvement in both the experimental (p-value < 0.05) and control groups (p-value < 0.005). Notably, significant effects were observed in postural stability after intervention, and during one of the detraining assessments, the experimental group showed superior results compared to the control group in subacute stroke. Anodal tDCS yield significant short- and long-term effects on postural stability, while short term effects on trunk stability. Additionally, long term effects were observed on the physical performance and anticipatory postural adjustments while no effects at quality of life either short or long term basis among the subacute stroke patients.

An Integrated Frequency Regulation Method Based on System Frequency Security Posture

As the share of renewable energy in a grid increases, the grid’s frequency support capability weakens, and the spatial distribution of grid frequency becomes more pronounced. As a result, control strategies based on system frequency consistency and traditional frequency regulation dominated by synchronous machines are becoming increasingly inadequate for meeting the frequency regulation requirements of new-type power systems. To enhance the system’s frequency support capability, it is imperative to fully utilize the frequency regulation resources within the power system. To address this issue, this paper first introduces a system frequency security posture assessment method that accounts for the spatial distribution characteristics of the grid. Subsequently, a parameter optimization method for diverse frequency regulation resources is proposed in conjunction with the proposed comprehensive evaluation method for frequency regulation. Next, using a renewable energy feeder regional grid as an example, an integrated frequency regulation method based on the system frequency security posture is presented. Finally, the frequency regulation performance and economic costs of different frequency regulation methods are analyzed under various operating scenarios and disturbances using a model based on actual data from the renewable energy feeder regional grid. The simulation and index calculation results demonstrate that the method proposed in this paper effectively enhances the system’s frequency support capability, reduces the frequency disparity between different nodes within the grid, and maintains high economic performance.

Electromyographic comparison of exercises for scapulothoracic muscle activation in men with upper crossed syndrome: A cross-sectional study

ObjectiveThis study aimed to determine the optimal exercise for improving Upper Crossed Syndrome (UCS) using electromyographic (EMG) activity of upper trapezius (UT), middle trapezius (MT), lower trapezius (LT), and serratus anterior (SA) during ten exercises. MethodA cross-sectional study involved 30 male students (mean age: 25.3 ± 2.5 years; height: 176.8 ± 7.2 cm; weight: 77.7 ± 2.5 kg; BMI: 23.8 ± 0.72 kg/m2) with UCS. Participants were selected based on postural assessments (forward head posture ≥44°, rounded shoulder ≥49°, thoracic kyphosis ≥42°). EMG was used to measure activation levels of UT, MT, LT, and SA, and the UT activation ratio relative to MT, LT, and SA during ten exercises. One-way ANOVA was applied for data analysis. ResultsSide-lying external rotation, standing diagonal flexion with Thera-band, and lying prone “V” demonstrated the least UT activity, with the highest MT and LT activation. The standing diagonal flexion with Thera-band elicited the highest SA activity. UT/MT, UT/LT, and UT/SA ratios were less than one in multiple exercises. Significant differences in muscle activation levels and ratios were observed across all exercises (P ≤ 0.05). ConclusionThe findings suggest significant clinical implications for UCS rehabilitation. The identified exercises effectively engage MT and LT while minimizing UT activation, addressing muscular imbalances. Favorable UT/MT, UT/LT, and UT/SA ratios further support these exercises in correcting UCS. These exercises may help counteract the underlying muscular imbalance in UCS by promoting a more balanced activity ratio among the shoulder girdle muscles, potentially improving posture and reducing UCS symptoms.

Enhancing postural balance assessment through neural network-based lower-limb muscle strength evaluation with reduced markers

Aiming to simplify the data acquisition process for balance diagnosis and focused on muscle, a direct factor affecting balance, to assess and judge postural stability. Utilizing a publicly available kinematic dataset, the research retained 3D coordinates and mechanical data for 8 markers on the lower limbs. By integrating this data with the musculoskeletal model in OpenSim, inverse kinematic calculations were performed to derive muscle forces. These forces, alongside the coordinates, were split into an 8:2 training and test set ratio. A neural network was then developed to predict muscle forces using normalized coordinate data from the training set as input, with corresponding muscle force data as training labels. The model’s accuracy was confirmed on the test set, achieving coefficients of determination ( R 2 ) above 0.99 for 276 muscle forces. Furthermore, the Force Maximum Percentage Difference (FMPD) was introduced as a novel criterion to evaluate and visualize lower limb balance, revealing significant discrepancies between the patient and control groups. This study successfully demonstrates that the neural network model can precisely predict lower limb muscle forces using reduced markers and introduces FMPD as an effective tool for assessing limb balance, providing a robust framework for future diagnostic and rehabilitative applications.

Comparison of postural assessment and awareness in individuals receiving posture training using the digital AI posture assessment and correction system

Objectives. This study aimed to compare postural assessment and postural awareness using the artificial intelligence posture evaluation and correction system (APECS) in individuals receiving posture training. Methods. Participants’ physical characteristics were recorded. The participants’ posture was evaluated with APECS and the New York posture rating chart test (NYPR), and their body and postural awareness was evaluated with the body awareness questionnaire (BAQ), postural awareness form (PAF) and postural habits and awareness scale (PHAS). Results. In the study, results of the PAF (p = 0.000), BAQ (p = 0.013) and PHAS (p = 0.033) were found to be different between the groups. While the groups were similar in the PHAS sub-dimension of postural habit (p = 0.331), there was a significant difference between the groups in postural awareness (p = 0.04). NYPR results of the participants in the group receiving posture training were similar to those in the group not receiving posture training (p = 0.45). Conclusion. Postural deviations measured by digital posture assessment in individuals receiving posture training were significantly different in the group receiving posture training. Postural awareness and body awareness were better in individuals who received posture training than in individuals who did not receive posture training.

Hand Tool Intervention for Rubber Tappers Using Modified Michie Golledge Knife

ABSTRACT Background and Objectives Rubber tapping is a physically demanding and skilled agricultural operation that can cause musculoskeletal disorders (MSDs). This research investigated the impact of using an ergonomically modified rubber tapping knife on the hand posture of rubber tappers. Methods Initially, a postural assessment was conducted using CATIA V6 modelling software followed by a non-randomized longitudinal study with 32 rubber tappers. In the second phase, the study used a custom-modified Standard Nordic Questionnaire, video recordings, and direct observations. The study compared the results of the ergonomically modified rubber tapping knife with the traditional tapping knife, evaluating hand grip strength, endurance time chip thickness, time required to complete 300 trees, and posture using the Rapid Upper Limb Assessment (RULA) tool. Results Compared to pre-tapping values, the mean reduction in grip strength after tapping was significantly less with the modified rubber tapping knife than with the traditional tapping knife (2.96 kg, SD 0.85 kg vs 7.31 kg SD 2.13 kg). Similarly, the reduction in hand endurance time was less with the modified knife than with the traditional knife (1.78 seconds, SD 0.47 seconds vs 3.34 seconds, SD 0.87 seconds). The study also indicated that the modified knife did not significantly affect chip thickness. Additionally, a slight increasing in tapping time was observed with the ergonomically modified knife, which may be attributed to a learning curve phenomenon. This suggests that as rubber tappers become more accustomed to the new tool, their efficiency may improve over time. Conclusion The hand grip strength and endurance time was significantly lower with the ergonomically modified tapping knife. The study concluded that using an ergonomically modified tapping knife led to a significant improvement in hand posture among rubber tappers.

Assessment of Posture Related Risks among Goldsmiths Using Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA)

Assessment of Posture Related Risks among Goldsmiths Using Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA)

Pierre-Marie Gagey and the Evolution of Posturology: Unraveling the Complexity of the Fine Postural Control System.

The subtle sway of human standing posture began to be studied in the 19th century. Since then, numerous approaches - from the early statokinesiometers to the more advanced force platforms or 3D-posture recording systems - have been developed to understand human postural control physiology and its clinical implications. French physician Pierre-Marie Gagey made significant contributions to the field of posturology, a discipline focused on the intricacies of human postural control. From the 1950s, he advanced the field through observation and experimentation, particularly exploring the relationship between postural muscle tone and the fine postural control system. Gagey's collaboration with researchers of that time led to the refinement of stabilometry, a technique for measuring body sway in standing positions. Throughout his career, Gagey worked across multiple disciplines, including ophthalmology, podiatry, psychology, and the study of the vestibular and stomatognathic systems, to develop a comprehensive approach to postural assessment and treatment. His efforts culminated in the standardization of stabilometry, ensuring consistent and accurate measurements across different platforms. Gagey's work emphasized the complexity of postural control, highlighting the integration of peripheral and central nervous system inputs in maintaining balance. His research has left an enduring impact on the field of posturology, providing a framework for understanding and treating postural disorders. Pierre-Marie Gagey passed away in 2023, but his pioneering contributions continue to influence the study and clinical practice of human postural control. This narrative review aims to pay tribute to Dr. Gagey's career and research activity.

Designing a Low-Cost Force Plate for Postural Assessment

The purpose of this study was to develop a pair of single-pedestal types with a low-cost and user-friendly force plate for assessing ground reaction force (GRF), center of pressure (COP), and plantar pressure distribution (PPD). These parameters are crucial for assessing human movement and maintaining body balance. The load cells were tested with standard weights of 5, 10, 15, and 20 kg. Using linear regression, the analysis showed a strong linear relationship between the load cell output and the standard weight, with an R-squared value of 0.99. Furthermore, the error margin was determined to be less than +/- 5%. In the initial equipment assessment, a healthy female was evaluated the posture under both eye-open and eye-closed conditions through three sets of measurements. The results showed about a two-fold change in the COP parameter, possibly due to swaying when the eyes were closed. Additionally, the PPD parameter revealed varying foot weight distribution levels, even though the GRF values were almost the same. The equipment's graphic user interface (GUI) provides real-time graphical representations for GRF, COP, and PPD, aiding in training effectiveness for enhancing postural assessment under professional guidance. In future studies, we plan to use the developed equipment to observe its effectiveness by measuring a larger and more diverse population.

Effect of lower limb resistance exercise with abdominal draw-in on stroke survivors: A pilot study.

Evidence-based guidelines are needed to inform rehabilitation practice including the effect of non-paralytic lower limb resistance exercise with abdominal drawing-in technique (ADIM) on recovery of trunk control, balance and daily living after stroke survivors. The purpose of this study was to compare the effects of trunk control strengthening performed in non-paralytic lower limb resistance exercise with ADIM on trunk control, balance, daily living in stroke survivors. The 24 participants with stroke were randomly divided into three groups: lower limb resistance exercise group (LRAG; n = 8), lower limb exercise group (LAG; n = 8), and control group (CG; n = 8). The training sessions were conducted three times a week for four weeks. Outcome measures included the Korean version Trunk Impairment Scale (K-TIS), Postural Assessment Scale of Stroke (PASS), Modified Functional Reach Test (mFRT), Berg Balance Scale (BBS), Foot print and Modified Barthel's Index (MBI). The results showed that the LRAG had a significant effect on the K-TIS, PASS, mFRT, Foot print and MBI than the LAG and CG (p < 0.05). The BBS results showed a significant difference the CG (p < 0.05). This study showed that repeated non-paralytic lower limb resistance exercises with ADIM can be used clinically as a training method for general physiotherapy in patients with reduced postural control, balance and daily living.

Recognition of Forward Head Posture Through 3D Human Pose Estimation With a Graph Convolutional Network: Development and Feasibility Study.

Prolonged improper posture can lead to forward head posture (FHP), causing headaches, impaired respiratory function, and fatigue. This is especially relevant in sedentary scenarios, where individuals often maintain static postures for extended periods-a significant part of daily life for many. The development of a system capable of detecting FHP is crucial, as it would not only alert users to correct their posture but also serve the broader goal of contributing to public health by preventing the progression of chronic injuries associated with this condition. However, despite significant advancements in estimating human poses from standard 2D images, most computational pose models do not include measurements of the craniovertebral angle, which involves the C7 vertebra, crucial for diagnosing FHP. Accurate diagnosis of FHP typically requires dedicated devices, such as clinical postural assessments or specialized imaging equipment, but their use is impractical for continuous, real-time monitoring in everyday settings. Therefore, developing an accessible, efficient method for regular posture assessment that can be easily integrated into daily activities, providing real-time feedback, and promoting corrective action, is necessary. The system sequentially estimates 2D and 3D human anatomical key points from a provided 2D image, using the Detectron2D and VideoPose3D algorithms, respectively. It then uses a graph convolutional network (GCN), explicitly crafted to analyze the spatial configuration and alignment of the upper body's anatomical key points in 3D space. This GCN aims to implicitly learn the intricate relationship between the estimated 3D key points and the correct posture, specifically to identify FHP. The test accuracy was 78.27% when inputs included all joints corresponding to the upper body key points. The GCN model demonstrated slightly superior balanced performance across classes with an F1-score (macro) of 77.54%, compared to the baseline feedforward neural network (FFNN) model's 75.88%. Specifically, the GCN model showed a more balanced precision and recall between the classes, suggesting its potential for better generalization in FHP detection across diverse postures. Meanwhile, the baseline FFNN model demonstrates a higher precision for FHP cases but at the cost of lower recall, indicating that while it is more accurate in confirming FHP when detected, it misses a significant number of actual FHP instances. This assertion is further substantiated by the examination of the latent feature space using t-distributed stochastic neighbor embedding, where the GCN model presented an isotropic distribution, unlike the FFNN model, which showed an anisotropic distribution. Based on 2D image input using 3D human pose estimation joint inputs, it was found that it is possible to learn FHP-related features using the proposed GCN-based network to develop a posture correction system. We conclude the paper by addressing the limitations of our current system and proposing potential avenues for future work in this area.

Computer Vision for Assessing Surgical Movements in Neurosurgery.

Objective evaluation of microsurgical technique quality is vital for successful training in neurosurgery. This study aimed to assess the accuracy of automatically detecting a neurosurgeon's proper posture and hand positioning using computer vision. We employed the RTMPose neural network model to identify key anatomical points in the neurosurgeon's projection and calculated various angles formed by connecting these points. By utilizing machine learning on these angles, we were able to classify images of the surgeon's posture and hands into correct positions and various types of errors with an accuracy of at least 0.9. Computer vision enables successful detection and objective assessment of the neurosurgeon's posture and hand positions. The high accuracy of this detection can pave the way for a new training approach in neurosurgery.