The rapid transformation of our communities and our way of life due to modern technologies
has impacted sports as well. Artificial intelligence, computational intelligence, data mining …

Recognizing activities of daily living (ADL) provides vital contextual information that
enhances the effectiveness of various mobile health and wellness applications …

Machine learning is a powerful tool for data classification and has been used to classify
movement data recorded by wearable inertial sensors in general living and sports. Inertial …

Wearable devices are currently popular for fitness tracking. However, these general usage
devices only can track limited and prespecified exercises. In our previous work, we …

We present ERICA, a digital personal trainer for users performing free weights exercises,
with two key differentiators:(a) First, unlike prior approaches that either require multiple on …

Background: In this study, an automatic scoring system for the functional movement screen
(FMS) was developed. Methods: Thirty healthy adults fitted with full-body inertial …

Musculoskeletal disorders (MSD) are the second leading cause of disability and one-fifth of
adults worldwide have been reporting about neck pain annually. Accidents, sudden jolts …

The ability to accurately and automatically recognize and count the repetitions of exercises
using a single sensor is essential for technology-assisted exercise-based rehabilitation. In …

This dissertation presents the design and evaluation of iART: an Intelligent Assistant for
Robotic Therapy. iART is a robot-assisted therapy system designed for home-based upper …

Human neck postures and movements need to be monitored, measured, quantified and
analyzed, as a preventive measure in healthcare applications. Improper neck postures are …