The ever-growing computation and storage capability of mobile phones have given rise to mobile-centric context recognition systems, which are able to sense and analyze the context …
Human activity recognition using mobile device sensors is an active area of research in pervasive computing. In our work, we aim at implementing activity recognition approaches …
Sensor-based motion recognition integrates the emerging area of wearable sensors with novel machine learning techniques to make sense of low-level sensor data and provide rich …
Reliable human activity recognition with wearable devices enables the development of human-centric pervasive applications. We aim to develop a robust wearable-based activity …
How are social interaction dynamics associated with mental health during early stages of adolescence? The goal of this study is to objectively measure social interactions and …
T Zimmermann, B Taetz, G Bleser - Sensors, 2018 - mdpi.com
Human body motion analysis based on wearable inertial measurement units (IMUs) receives a lot of attention from both the research community and the and industrial …
Human activity monitoring has become widely popular in recent years, and has been utilized in a vast number of fields and applications. Most of the activity recognition algorithms …
K Kunze, P Lukowicz - IEEE Pervasive Computing, 2014 - ieeexplore.ieee.org
This article explores how placement variations in user-carried electronic appliances influence human action recognition and how such influence can be mitigated. The authors …
Activity recognition systems utilise data from sensors in mobile, environmental and wearable devices, ubiquitously available to individuals. It is a growing research area within intelligent …