With the recent advancement in wearable computing, sensor technologies, and data
processing approaches, it is possible to develop smart clothing that integrates sensors into …

In this paper, we propose a novel energy-efficient approach for mobile activity recognition
system (ARS) to detect human activities. The proposed energy-efficient ARS, using low …

Physical inactivity in youth is one of the major concerns in today's world because the
technological developments in various areas have made them lethargic, since just clicking a …

Automated gestures recognition is becoming a standard as it provides improved human
health without getting in the way of daily life routine. The goal of this proposed approach is to …

To circumvent current limitations of wearable sensors that can be used to assess and
monitor joint movements, we developed an accurate, low-cost, flexible wearable sensor …

Although most individuals understand the importance of regular physical activity, many still
lead mostly sedentary lives. The use of smartphones and fitness trackers has mitigated this …

Regular physical exercises are widely considered to be a key factor for living a healthy life.
In this paper we present Mobile@ Old, an integrated platform for assisting elderly people to …

Many studies highlight the relationship between emotional state and behaviour. Emotions
influence elderly people especially on physical activity and their mobility. It was shown that …

Classification is the most important part in BrainComputer Interface problems, where our
task is to decipher the individual's (usually people with physical or verbal disorders) …

Patient video taken at home can provide valuable insights into the recovery progress during
a programme of physical therapy, but is very time consuming for clinician review. Our work …