A5042967942- Gait Recognition and Analysis
- Human Pose and Action Recognition
- Non-Invasive Vital Sign Monitoring
- Context-Aware Activity Recognition Systems
- IoT-based Smart Home Systems
- Anomaly Detection Techniques and Applications
- Diabetic Foot Ulcer Assessment and Management
Anhui University of Technology
2020-2021
The exoskeleton is equipment aiming at bringing more convenience to people's daily life. In order optimize its interaction with the human, responsiveness indispensable and gait prediction becomes vital. this paper, we propose method based on temporal convolutional networks (TCN) that named net(GPNet). It consists of intermediate network target network. novel structure algorithm can make full use historical information sensors. Then performance GPNet evaluated public HuGaDB dataset,...
In several epidemic diseases, one of the main symptoms exhibited by people is abnormal body temperature. Therefore, monitoring temperature crucial for preventing spread infectious diseases and facilitating timely responses. This study presents a wearable bracelet that can be used as trajectory analysis system. The sensor in effectively monitor wearer target scene, data transmission between collector detect movement range wearer. Through these, whole set also direct indirect contact any...
Exoskeleton has been applied in the field of medical rehabilitation and assistance. However, there are still some problems interaction between human exoskeleton, such as time delay, existence certain constraints on body, movement is hard to follow. A motion pattern recognition model based long short-term memory (LSTM) proposed, which can recognise state body. Meanwhile, orthogonalisation method integrated make personal-specific disentangling, it effectively improve generalisation ability...