EMG-based motion estimation is required for applications such as myoelectric control,
where the simultaneous estimation of kinematic information, namely joint angle and velocity …

EMG-based force estimation is generally done in a subject specific manner. In this paper, we
explore force estimation in a manner generalizable across individuals, where the EMG …

Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring …

Sleep posture analysis is widely used for clinical patient monitoring and sleep studies.
Earlier research has revealed that sleep posture highly influences symptoms of diseases …

In-bed pose estimation has shown value in fields such as hospital patient monitoring, sleep
studies, and smart homes. In this paper, we explore different strategies for detecting body …

Smart devices in the Internet of Things (IoT) paradigm provide a variety of unobtrusive and
pervasive means for continuous monitoring of bio-metrics and health information …

Recent advances in deep pose estimation models have proven to be effective in a wide
range of applications such as health monitoring, sports, animations, and robotics. However …

The complex structure of the human body makes its center of mass (CoM) estimation very
challenging. The typically used estimation methods usually suffer from large estimation …

A stability index has been generally used in a gait system of formulaic structure. In this
standardized structure, a human model has a center of gravity (COG), while a robot device …

In this paper, extracted features in time and frequency domain, from high-density surface
electromyogram (HD-sEMG) signals acquired from the long head and short head of biceps …