In recent years, the use of inertial measurement unit (IMU)-based motion capture (Mocap)
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …

Abnormal posture or movement is generally the indicator of musculoskeletal injuries or
diseases. Mechanical forces dominate the injury and recovery processes of musculoskeletal …

Continuous online prediction of human joints angles is a key point to improve the
performance of man-machine cooperative control. In this study, a framework of online …

Recent advancements in robotics have pushed the development of active exoskeletons and
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …

Gait analysis systems are critical for assessing motor function in rehabilitation and elderly
care. This study aimed to develop and optimize an abnormal gait classification algorithm …

Wearable exoskeleton techniques are becoming mature and widely used in many areas.
However, the biggest challenge lies in that the control system should recognize and follow …

Sensors with a higher sampling rate produce higher-quality data. However, for more
extended periods of data acquisition, as in the continuous monitoring of patients, the …

Gait analysis is important in a variety of applications such as animation, healthcare, and
virtual reality. So far, high-cost experimental setups employing special cameras, markers …

In physical therapy, exercises improve range of motion, muscle strength, and flexibility,
where motion-tracking devices record motion data during exercises to improve treatment …

Wireless inertial motion capture holds promise for real-time human-machine interfaces and
home-based rehabilitation applications. However, wireless data drop can cause significant …