Although many works bring exercise monitoring to smartphone and smartwatch, inertial
sensors used in such systems require device to be in motion to detect exercises. We …

Fitness applications are commonly used to monitor activities within the gym, but they often
fail to automatically track indoor activities inside the gym. This study proposes a model that …

Featured Application This work presented a method to detect Social Anxiety Disorder (SAD)
objectively Haar Cascade Classifiers. This method, therefore, could be used by clinicians …

To encourage more active activities that have the potential to significantly reduce the risk of
people's health, we aim to develop an AI-based mobile app to identify four gym activities …

In strength training, personalised strength training (autoregulation) approaches have been
used to individualise exercise programs with monitoring for dynamic adjustment based on …

People often struggle with getting grasp of the correct form of weightlifting exercises which
can not only cause injuries, but can also result in a lack of progress. Existing solutions focus …

As many people work from home, the effects of a sedentary lifestyle are more prominent and
there is need to promote and support at-home workout sessions. In this paper we present an …

This report evaluates the performance of various classification algorithms on a dataset of
gym exercises recorded using time series data from the accelerometer and gyroscope …