Indoor occupancy sensing with ultrasounds
ContributorsHammoud, Abbass
DirectorsDeriaz, Michel; Konstantas, Dimitri
Defense date2018-11-23
Abstract
Keywords
- Ultrasound
- Occupancy sensing
- Persons detection
- Indoor localization
- Frequency/Time analysis
- Machine learning
- Smart Environments
- Environment sensing
- Motion sensors
- Power switching
Citation (ISO format)
HAMMOUD, Abbass. Indoor occupancy sensing with ultrasounds. Doctoral Thesis, 2018. doi: 10.13097/archive-ouverte/unige:112355
Main files (1)
Thesis
Identifiers
- PID : unige:112355
- DOI : 10.13097/archive-ouverte/unige:112355
- URN : urn:nbn:ch:unige-1123552
- Thesis number : GSEM 64