Objectives To investigate the physical activity (PA) intensity associated with cardiometabolic health when considering the mediating role of cardiorespiratory fitness (CRF). Methods A subsample of ...
Objective Although 30 min/day of moderate-intensity physical activity is suggested for preventing type 2 diabetes (T2D), the current recommendations exclusively rely on self-reports and rarely ...
Abstract: This study presents a novel approach to Human-Robot Interaction (HRI) by employing gesture recognition to control robotic systems, such as bionic arms or manipulators, through ...
Abstract: Background: Parkinson’s Disease (PD) is characterized by motor fluctuations that affect quality of life and require accurate monitoring to optimize treatment. Clinical outcome measures and ...
This is the GitHub repository of The Physical Activity Assessment Using Wearable Sensors Dataset: Labeled Free-Living Accelerometer Data (IMWUT '25). If you use this data, please cite our paper and ...
This demo uses the on board FXL8974 3-axis Low G accelerometer to obtain real time acceleration data, the on board RGB LED to indicate the orientation, and the SLCD interface prints out the y ...
Waist-worn sensors provided by ActiGraph captured accelerometer data while participants completed 3 self-report measures of PA. The multilevel modeling method was used with EMA, GPAQ, and BAR as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results