Publication: A Low Power, Fully Event-Based Gesture Recognition System
A Low Power, Fully Event-Based Gesture Recognition System
Date
Date
Date
Citations
Amir, A., Taba, B., Berg, D., Melano, T., McKinstry, J., Di Nolfo, C., Nayak, T., Andreopoulos, A., Garreau, G., Mendoza, M., Kusnitz, J., Debole, M., Esser, S., Delbruck, T., Flickner, M., & Modha, D. (2017). A Low Power, Fully Event-Based Gesture Recognition System. 7243–7252. https://doi.org/10.1109/CVPR.2017.781
Abstract
Abstract
Abstract
We present the first gesture recognition system implemented end-to-end on event-based hardware, using a TrueNorth neurosynaptic processor to recognize hand gestures in real-time at low power from events streamed live by a Dynamic Vision Sensor (DVS). The biologically inspired DVS transmits data only when a pixel detects a change, unlike traditional frame-based cameras which sample every pixel at a fixed frame rate. This sparse, asynchronous data representation lets event-based cameras operate at much lower power than frame-based camer
Additional indexing
Creators (Authors)
- Amir, Arnon
- Taba, Brian
- Berg, David
- Melano, Timothy
- McKinstry, Jeffrey
- Di Nolfo, Carmelo
- Nayak, Tapan
- Andreopoulos, Alexander
- Garreau, Guillaume
- Mendoza, Marcela
- Kusnitz, Jeff
- Debole, Michael
- Esser, Steve
- Flickner, Myron
- Modha, Dharmendra
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Publisher
Publisher
Publisher
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Language
Language
Language
Date available
Date available
Date available
Series Name
Series Name
Series Name
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Citations
Amir, A., Taba, B., Berg, D., Melano, T., McKinstry, J., Di Nolfo, C., Nayak, T., Andreopoulos, A., Garreau, G., Mendoza, M., Kusnitz, J., Debole, M., Esser, S., Delbruck, T., Flickner, M., & Modha, D. (2017). A Low Power, Fully Event-Based Gesture Recognition System. 7243–7252. https://doi.org/10.1109/CVPR.2017.781
