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BlueSeer: AI-Driven...
BlueSeer: AI-Driven Environment Detection via BLE Scans
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- Poirot, Valentin, 1994 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Christian-Albrechts-Universität zu Kiel,University of Kiel
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- Harms, Laura, 1991 (author)
- Christian-Albrechts-Universität zu Kiel,University of Kiel,Chalmers tekniska högskola,Chalmers University of Technology
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- Martens, Hendric (author)
- Christian-Albrechts-Universität zu Kiel,University of Kiel
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- Landsiedel, Olaf, 1979 (author)
- Christian-Albrechts-Universität zu Kiel,University of Kiel,Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2022-08-23
- 2022
- English.
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In: Proceedings - Design Automation Conference. - New York, NY, USA : ACM. - 0738-100X. ; , s. 871-876
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Abstract
Subject headings
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- IoT devices rely on environment detection to trigger specific actions, e.g., for headphones to adapt noise cancellation to the surroundings. While phones feature many sensors, from GNSS to cameras, small wearables must rely on the few energy-efficient components they already incorporate. In this paper, we demonstrate that a Bluetooth radio is the only component required to accurately classify environments and present BlueSeer, an environment-detection system that solely relies on received BLE packets and an embedded neural network. BlueSeer achieves an accuracy of up to 84% differentiating between 7 environments on resource-constrained devices, and requires only ~12 ms for inference on a 64 MHz microcontroller-unit.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Keyword
- embedded neural network
- Bluetooth Low Energy
- environment detection
- BLE
- environment classification
Publication and Content Type
- kon (subject category)
- ref (subject category)
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