On-device Sensing
On-Device Sensing is a mobile sensor integration paradigm in which sensor data acquisition, processing, and analysis are performed locally on the sensing device, distinguishing it from cloud-dependent or remote sensing approaches by ensuring real-time responsiveness, enhanced privacy, and reduced latency through embedded computational capabilities.
23
Publications
2K
Citations
108
Authors
29
Institutions
Publications per year
2017–2026
16
Parents
23
Allan Stisen, Henrik Blunck, Sourav Bhattacharya et al. · 2015 · 696 citations
Gierad Laput, Robert Xiao, Chris Harrison · 2016 · 262 citations
Squeezing Deep Learning into Mobile and Embedded Devices
Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur et al. · IEEE Pervasive Computing · 2017 · 218 citations
1–5 of 23
108
Helsinki Institute for Information Technology, Finland
3 publications · 952 citations
3
h-index
2
h-index
2
h-index
University of Illinois Urbana-Champaign, United States
2 publications · 153 citations
2
h-index
2
h-index
1–5 of 108
29
RMIT University
Melbourne, Australia
4 h-index
6 publications
250 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
10 publications
1.6K citations

Aarhus University
Aarhus, Denmark
2 h-index
8 publications
4.3K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
6 publications
594 citations

Macquarie University
Sydney, Australia
2 h-index
2 publications
26 citations
The University of Texas at Austin
Austin, United States
1 h-index
3 publications
48 citations

Indian Institute of Science Bangalore
Bengaluru, India
1 h-index
6 publications
90 citations
Servicio Gallego de Salud
Santiago de Compostela, Spain
1 h-index
1 publications
44 citations
1–8 of 29
Repository · 4 publications · 156 citations
4
h-index
TMCCI · 2 publications · 48 citations
2
h-index
1 publications · 100 citations
1
h-index
Repository · 1 publications · 98 citations
1
h-index
1 publications · 44 citations
1
h-index
1–5