Even though it is well known that physical exercises have numerous emotional and physical
health benefits, maintaining a regular exercise routine is quite challenging. Fortunately …

In this paper, we present MyoTrack, a realtime classification procedure that identifies levels
of subject participation during robot-assisted rehabilitation using a wearable surface …

The accurate and efficient recognition of gym workout activities using wearable sensors
holds significant implications for assessing fitness levels, tailoring personalized training …

Non-coordinated physical activity may lead to hypoglycemia, which is a dangerous condition
for diabetic people. Decision support systems related to type 1 diabetes mellitus (T1DM) still …

Improper neck postures and movements are the major causes of human neck-related
musculoskeletal disorders. To monitor, quantify, analyze, and detect the movements, remote …

With the prevalence of various sensors and smart devices in people's daily lives, numerous
types of information are being sensed. While using such information provides critical and …

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 …

Objective: Exercise monitoring with low-cost wearables could improve the efficacy of remote
physical-therapy prescriptions by tracking compliance and informing the delivery of tailored …

Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone
insulin. The two main types of DM are type 1 (T1DM) and type 2 (T2DM). Physical activity …

In the paper, we propose an acceleration-based and angular-velocity-based vehicle attitude
recognition method by using a popular deep learning algorithm, ie, Convolution Neural …