MOBISYS

Despite numerous devices targeted to fitness tracking, the strength training domain has often been overlooked and understudied. In this paper, we propose a smartphone camera based approach to track users' strength training workouts, as well as metrics ...

The ability to assess cognitive load of an user in real time, is an integral part of effective human-computer interactions. Several approaches are used in literature for assessing cognitive load of an user in labs, however, assessment in real world ...

According to World Health Organization (WHO) cardiovascular diseases (CVDs) are the number one cause of global deaths annually. More than 17 million people die each year from CVDs. To diagnose CVDs some clinical tests are required which are invasive and ...

We propose MoveFeel, a movement computing framework that leverages vision-based analysis to compute meaningful metrics for assessing expressive dance movement. Our system is a multi-component workflow which extracts and collects dance movement images, ...

The Photoplethysmogram (PPG) sensor is found in most smart wearables and fitness trackers to support the physical wellness monitoring of it's user. The popularity of this sensor has encouraged the exploration of it's use in other domains particularly in ...

In this paper, we propose a cardiovascular digital twin platform to simulate the effect of exercise on various cardiac parameters of medical importance. The model incorporates the real-time ECG signal from the body-worn sensors to estimate exercise ...