Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance
Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …
detailed analysis. The implementation of automated detection and recognition of sport …
Wearable sensors based exertion recognition using statistical features and random forest for physical healthcare monitoring
Remote physical activity recognition is gaining popularity as it provides improved healthcare
monitoring services without hampering the daily lifestyle of individuals. For smart healthcare …
monitoring services without hampering the daily lifestyle of individuals. For smart healthcare …
Automatic classification of squat posture using inertial sensors: Deep learning approach
Without expert coaching, inexperienced exercisers performing core exercises, such as
squats, are subject to an increased risk of spinal or knee injuries. Although it is theoretically …
squats, are subject to an increased risk of spinal or knee injuries. Although it is theoretically …
An evaluation of wearable inertial sensor configuration and supervised machine learning models for automatic punch classification in boxing
Machine learning is a powerful tool for data classification and has been used to classify
movement data recorded by wearable inertial sensors in general living and sports. Inertial …
movement data recorded by wearable inertial sensors in general living and sports. Inertial …
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers
Recent technological advancements have spurred the usage of machine learning based
applications in sports science and healthcare. Using wearable sensors and video cameras …
applications in sports science and healthcare. Using wearable sensors and video cameras …
Classification of deadlift biomechanics with wearable inertial measurement units
The deadlift is a compound full-body exercise that is fundamental in resistance training,
rehabilitation programs and powerlifting competitions. Accurate quantification of deadlift …
rehabilitation programs and powerlifting competitions. Accurate quantification of deadlift …
Recognizing full-body exercise execution errors using the Teslasuit
P Caserman, C Krug, S Göbel - Sensors, 2021 - mdpi.com
Regular physical exercise is essential for overall health; however, it is also crucial to mitigate
the probability of injuries due to incorrect exercise executions. Existing health or fitness …
the probability of injuries due to incorrect exercise executions. Existing health or fitness …
Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial
A Luna, L Casertano, J Timmerberg, M O'Neil… - Scientific Reports, 2021 - nature.com
Artificial intelligence technology is becoming more prevalent in health care as a tool to
improve practice patterns and patient outcomes. This study assessed ability of a …
improve practice patterns and patient outcomes. This study assessed ability of a …
Classification of motor errors to provide real-time feedback for sports coaching in virtual reality—A case study in squats and Tai Chi pushes
For successful fitness coaching in virtual reality, movements of a trainee must be analyzed in
order to provide feedback. To date, most coaching systems only provide coarse information …
order to provide feedback. To date, most coaching systems only provide coarse information …
Classification of lunge biomechanics with multiple and individual inertial measurement units
Lunges are a common, compound lower limb resistance exercise. If completed with aberrant
technique, the increased stress on the joints used may increase risk of injury. This study …
technique, the increased stress on the joints used may increase risk of injury. This study …