AIMC Topic: Biomechanical Phenomena
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Automatic video analysis of countermovement jump performance using a single uncalibrated camera.
Journal of biomechanics
Apr 12, 2025
The countermovement jump (CMJ) assessment is widely employed for monitoring sports performance, traditionally relying on heavy and expensive force plates to extract performance variables like jump height and peak force. Inertial measurement unit (IMU...
The improved extrapolated center of mass enhances the safety of exoskeleton system.
Scientific reports
Apr 11, 2025
Maintaining the balance and safety of the exoskeleton human-robot coupling system is a prerequisite for realizing the rehabilitation training function. Therefore, research on the balance of lower limb exoskeleton robots has attracted much attention. ...
Learning-based 3D human kinematics estimation using behavioral constraints from activity classification.
Nature communications
Apr 11, 2025
Inertial measurement units offer a cost-effective, portable alternative to lab-based motion capture systems. However, measuring joint angles and movement trajectories with inertial measurement units is challenging due to signal drift errors caused by...
Comparison of Ground Reaction Forces and Net Joint Moment Predictions: Skeletal Model Versus Artificial Neural Network-Based Approach.
Journal of applied biomechanics
Apr 9, 2025
Artificial neural networks (ANNs) are becoming a regular tool to support biomechanical methods, while physics-based models are widespread to understand the mechanics of body in motion. Thus, this study aimed to demonstrate the accuracy of recurrent A...
AI-based human whole-body posture-prediction in continuous load reaching/leaving activities.
Journal of biomechanics
Apr 9, 2025
Determining worker's body posture during load handling activities is the first step toward assessing and managing occupational risk of musculoskeletal injuries. Traditional approaches for the measurement of body posture are impractical in real work s...
Innovative diagnostic framework for shoulder instability: a narrative review on machine learning-enhanced scapular dyskinesis assessment in sports injuries.
European journal of medical research
Apr 9, 2025
A common shoulder problem that significantly detracts from patients' quality of life is shoulder instability (SI). Abnormal scapular positioning and movement are closely associated with rotator cuff injuries and SI, as shown by several studies. The a...
Predicting ground reaction forces and center of pressures from kinematic data in crutch gait based on LSTM.
Medical engineering & physics
Apr 8, 2025
Crutches are of extensive applications in the field of rehabilitation. Comprehensively analyzing the ground reaction forces (GRFs) on both crutches and feet can evaluate the patients' walking function recovery. Given more force platforms are needed i...
Ankle Kinematics Estimation Using Artificial Neural Network and Multimodal IMU Data.
IEEE journal of biomedical and health informatics
Apr 4, 2025
Inertial measurement units (IMUs) have become attractive for monitoring joint kinematics due to their portability and versatility. However, their limited accuracy, inability to analyze data in real-time, and complex data fusion algorithms requiring p...
ErgoReport: A Holistic Posture Assessment Framework Based on Inertial Data and Deep Learning.
Sensors (Basel, Switzerland)
Apr 3, 2025
Awkward postures are a significant contributor to work-related musculoskeletal disorders (WRMSDs), which represent great social and economic burdens. Various posture assessment tools assess WRMSD risk but fall short in providing an elucidating risk b...
Neural networks can accurately identify individual runners from their foot kinematics, but fail to predict their running performance.
Journal of biomechanics
Apr 2, 2025
Athletes and coaches may seek to improve running performance through adjustments to running form. Running form refers to the biomechanical characteristics of a runner's movement, and can distinguish individual runners as well as groups of runners, su...
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