Wearable smart devices, such as smart watch, wristband are becoming increasingly popular
recently. They generally integrate the MEMS-designed inertial sensors, including …

Due to the serious impact of falls on the quality of life of the elderly and on the economical
sustainability of health systems, the study of new monitoring systems capable of …

Inertial Measurement Units (IMUs) embedded in commercial mobile devices are a good
choice for continuous monitoring in healthcare domain due to their attractive form factor and …

This paper presents the development and analysis of inertial MEMS sensor based system
that can detect falls in real time. The system is a major part of mobile human airbag system …

Wearable inertial sensors are providing enhanced insight into patient mobility and health.
Significant research efforts have focused on wearable algorithm design and deployment in …

In this study, we review the role of wearable devices in tracking our daily locomotion. We
discuss types of wearable devices that can be used, methods for gait analyses, and multiple …

This paper defines two major data sets 1) from wearable inertial measurement sensors and
2) wearable ECG SHIMMER™ sensors. The first dataset is devised to benchmark …

Nearly every practical improvement in modeling human motion is well founded in a properly
designed collection of data or datasets. These datasets must be made publicly available for …

The recent technological advances in sensor miniaturization and embedded processing
have provided new challenges and possibilities to the field of wearable computing. Two …

Automatic detection of gait phases through supervised learning is a feasible approach that
takes advantage of the consistency of the gait cycle among healthy subjects. However, gait …