Smart Devices are Different
Aarhus University · Nokia (United States) · +1 more institution
Abstract
The widespread presence of motion sensors on users' personal mobile devices has spawned a growing research interest in human activity recognition (HAR). However, when deployed at a large-scale, e.g., on multiple devices, the performance of a HAR system is often significantly lower than in reported research results. This is due to variations in training and test device hardware and their operating system characteristics among others. In this paper, we systematically investigate sensor-, device- and workload-specific heterogeneities using 36 smartphones and smartwatches, consisting of 13 different device models from four manufacturers. Furthermore, we conduct experiments with nine users and investigate popular…
Citation impact
- FWCI
- 20.96
- Percentile
- 100%
- References
- 49
Authors
8Topics & keywords
- Smartwatch
- Software deployment
- Computer science
- Mobile device
- Workload
- Activity recognition
- Cluster analysis
- Scale (ratio)