Very Low Power Neural Network FPGA Accelerators for Tag-Less Remote Person Identification Using Capacitive Sensors

Human detection, identification, and monitoring are essential for many applications aiming to make smarter the indoor environments, where most people spend much of their time (like home, office, transportation, or public spaces). The capacitive sensors can meet stringent privacy, power, cost, and un...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Marwen Roukhami, Mihai Teodor Lazarescu, Francesco Gregoretti, Younes Lahbib, Abdelkader Mami
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2019-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Indoor person identification capacitive sensing neural networks hardware design ultra-low power FPGAs hardware acceleration
Online-Zugang:	https://ieeexplore.ieee.org/document/8777074/
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