We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
Smartphones have become an essential part of our lives. Especially its computing power
and its current specifications make a modern smartphone a powerful device for human activity
recognition tasks. Equipped with various integrated sensors, a modern smartphone can be leveraged
for lots of smart applications. We already investigated the possibility of using an unmodified
commercial smartphone to recognize eight strength-based exercises. App-based workouts have
become popular in the last few years. The advantage of using a mobile device is that you can practice
anywhere at anytime. In our previous work, we proved the possibility of turning a commercial
smartphone into an active sonar device to leverage the echo reflected from exercising movement
close to the device. By conducting a test study with 14 participants, we showed the first results for
cross person evaluation and the generalization ability of our inference models on disjoint participants.
In this work, we extended another model to further improve the model generalizability and provided
a thorough comparison of our proposed system to other existing state-of-the-art approaches. Finally,
a concept of counting the repetitions is also provided in this study as a parallel task to classification
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.