Energy-efficient collaborative context sensing on mobile phones.
Event details
| Date | 13.07.2012 |
| Hour | 10:00 |
| Speaker | Mr. Julien Eberle |
| Location | |
| Category | Conferences - Seminars |
EDIC Candidacy Exam:
Exam president: Prof. Michael C. Gastpar
Thesis director: Prof. Karl Aberer
Thesis co-director: Dr Olivier Dousse
Co-examiner: Prof. Matthias Grossglauser
Research Proposal
Enabling large-scale human activity inference on smartphones using community similarity networks
by Nicholas D. Lane et al.
Balancing energy, latency and accuracy for mobile sensor data classification by David Chu et al.
Energy-efficient trajectory tracking for mobile devices by Mikkel Baun Kjærgaard et al.
Exam president: Prof. Michael C. Gastpar
Thesis director: Prof. Karl Aberer
Thesis co-director: Dr Olivier Dousse
Co-examiner: Prof. Matthias Grossglauser
Research Proposal
Enabling large-scale human activity inference on smartphones using community similarity networks
by Nicholas D. Lane et al.
Balancing energy, latency and accuracy for mobile sensor data classification by David Chu et al.
Energy-efficient trajectory tracking for mobile devices by Mikkel Baun Kjærgaard et al.
Practical information
- General public
- Free
Contact
- Evelyn Duperrex