User-and Speed-Independent Slope Estimation for Lower-Extremity Wearable Robots

JY Maldonado-Contreras, K Bhakta, J Camargo… - Annals of Biomedical …, 2024 - Springer
Wearable robots can help users traverse unstructured slopes by providing mode-specific
hip, knee, and ankle joint assistance. However, generalizing the same assistance pattern …

A data augmentation method for human action recognition using dense joint motion images

L Yao, W Yang, W Huang - Applied Soft Computing, 2020 - Elsevier
With the development of deep learning and neural network techniques, human action
recognition has made great progress in recent years. However, it remains challenging to …

[HTML][HTML] An effective deep learning framework for fall detection: model development and study design

J Zhang, Z Li, Y Liu, J Li, H Qiu, M Li, G Hou… - Journal of medical …, 2024 - jmir.org
Background Fall detection is of great significance in safeguarding human health. By
monitoring the motion data, a fall detection system (FDS) can detect a fall accident. Recently …

[HTML][HTML] Aiding Clinical Decision-Making at the Individual and Community Level Using Mobile Sensor Data: Study Protocol for an Experimental Design

V Arora, SS Mishra, A Joshi, M Singhal, J Sahoo - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Background Mobile sensor data can provide vital information about patients' behavior and
physical activity. In particular, the mobile accelerometer sensor data, if monitored effectively …