Towards battery-less RF sensing
| Autor: | Stephan Sigg, Le Ngu Nguyen, Manila Kodali |
|---|---|
| Přispěvatelé: | Dept Signal Process and Acoust, Department of Communications and Networking, Ambient Intelligence, Aalto-yliopisto, Aalto University |
| Rok vydání: | 2021 |
| Předmět: |
Ubiquitous computing
Modality (human–computer interaction) business.industry Computer science 020209 energy Electrical engineering 020206 networking & telecommunications 02 engineering and technology Gesture recognition 0202 electrical engineering electronic engineering information engineering Wireless Radio frequency business Wireless sensor network Communication channel Gesture |
| Zdroj: | PerCom Workshops |
| DOI: | 10.1109/percomworkshops51409.2021.9431010 |
| Popis: | Funding Information: The authors appreciate partial funding from the Academy of Finland project ABACUS. Publisher Copyright: © 2021 IEEE. Recent work has demonstrated the use of the radio interface as a sensing modality for gestures, activities and situational perception. The field generally moves towards larger bandwidths, multiple antennas, and higher, mmWave frequency domains, which allow for the recognition of minute movements. We envision another set of applications for RF sensing: battery-less autonomous sensing devices. In this work, we investigate transceiver-less passive RF-sensors which are excited by the fluctuation of the received power over the wireless channel. In particular, we demonstrate the use of battery-less RF-sensing for applications of on-body gesture recognition integrated into smart garment, as well as the integration of such sensing capabilities into smart surfaces. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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