[HTML][HTML] Fitness movement types and completeness detection using a transfer-learning-based deep neural network

KY Chen, J Shin, MAM Hasan, JJ Liaw, O Yuichi… - Sensors, 2022 - mdpi.com
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 …

A Novel Deep Learning‐Enabled Physical Education Mechanism

W Wang, J Jiang - Mobile Information Systems, 2022 - Wiley Online Library
Race walking is one of the key events in the Tokyo Olympic Games, and also one of the
strengths of China in athletics events. In recent years, China has made remarkable …

[HTML][HTML] Deep learning for classifying physical activities from accelerometer data

V Nunavath, S Johansen, TS Johannessen, L Jiao… - Sensors, 2021 - mdpi.com
Physical inactivity increases the risk of many adverse health conditions, including the world's
major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and …

Deep learning of biomechanical dynamics in mobile daily activity and fall risk monitoring

Q Zhang - 2019 IEEE Healthcare Innovations and Point of Care …, 2019 - ieeexplore.ieee.org
Smart health is paving a promising way for modern health management. Daily activity and
fall risk monitoring is one important application that urges smart technologies, resulting from …

[Retracted] Research on Intelligent Bodybuilding System Based on Machine Learning

C Chen - Journal of Sensors, 2022 - Wiley Online Library
In recent years, people's health is facing many challenges as their workload is increasing
and their lives are becoming more and more stressful. In this context, healthy living has …

A posture evaluation system for fitness videos based on recurrent neural network

AL Liu, WT Chu - … on Computer, Consumer and Control (IS3C), 2020 - ieeexplore.ieee.org
We present a posture evaluation system especially for fitness. Given a fitness video where a
user repetitively performs a movement for fitness, we first detect human posture at each …

YOLOv3-based human activity recognition as viewed from a moving high-altitude aerial camera

W Mmereki, RS Jamisola, D Mpoeleng… - 2021 7th International …, 2021 - ieeexplore.ieee.org
This paper presents a method to classify human activities as normal or suspicious using
YOLOv3 to automatically process video footages taken from a high altitude moving aerial …

Free-weight exercise activity recognition using deep residual neural network based on sensor data from in-ear wearable devices

S Mekruksavanich… - 2023 46th International …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a popular study area in the current era of the Internet of
Things and artificial intelligence. HAR approaches have been successfully applied in many …

Research on athlete's action recognition based on acceleration sensor and deep learning

X Geng - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
Due to the difficulty of athletes' motion recognition, there are few studies on athletes' specific
motion recognition. Based on this, this study uses the acceleration sensor as the carrier, and …

A hybrid CNN and LSTM-based deep learning model for abnormal behavior detection

CW Chang, CY Chang, YY Lin - Multimedia Tools and Applications, 2022 - Springer
Traditional cameras can only record videos passively. If the camera can further automatically
recognize human behavior and activity, it can immediately issue an alarm to notify the …