AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices.
Nafiul RashidBerken Utku DemirelMohammad Abdullah Al FaruquePublished in: IEEE Internet Things J. (2022)
Keyphrases
- low power
- energy efficient
- human activity recognition
- power consumption
- energy efficiency
- activity recognition
- low power consumption
- low cost
- high speed
- wireless sensor networks
- human activities
- energy consumption
- sensor networks
- base station
- multi hop
- embedded systems
- energy saving
- mobile devices
- data transmission
- visual surveillance
- cmos technology
- data sets
- routing protocol
- action recognition