[HTML][HTML] A systematic literature review of intelligent data analysis methods for smart sport training
A Rajšp, I Fister Jr - Applied Sciences, 2020 - mdpi.com
The rapid transformation of our communities and our way of life due to modern technologies
has impacted sports as well. Artificial intelligence, computational intelligence, data mining …
has impacted sports as well. Artificial intelligence, computational intelligence, data mining …
Inertial‐Based Human Motion Capture: A Technical Summary of Current Processing Methodologies for Spatiotemporal and Kinematic Measures
BR Hindle, JWL Keogh… - Applied Bionics and …, 2021 - Wiley Online Library
Inertial‐based motion capture (IMC) has been suggested to overcome many of the
limitations of traditional motion capture systems. The validity of IMC is, however, suggested …
limitations of traditional motion capture systems. The validity of IMC is, however, suggested …
GymCam: Detecting, recognizing and tracking simultaneous exercises in unconstrained scenes
Worn sensors are popular for automatically tracking exercises. However, a wearable is
usually attached to one part of the body, tracks only that location, and thus is inadequate for …
usually attached to one part of the body, tracks only that location, and thus is inadequate for …
Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch
DM Burns, N Leung, M Hardisty… - Physiological …, 2018 - iopscience.iop.org
Objective: Participation in a physical therapy program is considered one of the greatest
predictors of successful conservative management of common shoulder disorders. However …
predictors of successful conservative management of common shoulder disorders. However …
Fog-centric IoT based framework for healthcare monitoring, management and early warning system
Internet of things (IoT) and machine learning based systems incorporating smart wearable
technology are rapidly evolving to monitor and manage healthcare and physical activities …
technology are rapidly evolving to monitor and manage healthcare and physical activities …
[HTML][HTML] Sensor-based gym physical exercise recognition: Data acquisition and experiments
Automatic tracking and quantification of exercises not only helps in motivating people but
also contributes towards improving health conditions. Weight training, in addition to aerobic …
also contributes towards improving health conditions. Weight training, in addition to aerobic …
Personalizing activity recognition models through quantifying different types of uncertainty using wearable sensors
Recognizing activities of daily living (ADL) provides vital contextual information that
enhances the effectiveness of various mobile health and wellness applications …
enhances the effectiveness of various mobile health and wellness applications …
[HTML][HTML] 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 …
[HTML][HTML] Empirical study on human movement classification using insole footwear sensor system and machine learning
This paper presents a plantar pressure sensor system (P2S2) integrated in the insoles of
shoes to detect thirteen commonly used human movements including walking, stooping left …
shoes to detect thirteen commonly used human movements including walking, stooping left …
[HTML][HTML] Fitness movement types and completeness detection using a transfer-learning-based deep neural network
Fitness is important in people's lives. Good fitness habits can improve cardiopulmonary
capacity, increase concentration, prevent obesity, and effectively reduce the risk of death …
capacity, increase concentration, prevent obesity, and effectively reduce the risk of death …