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DTSTART;TZID=America/Los_Angeles:20260728T123000
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UID:dac_DAC 2026_sess315_RESEARCH1691@linklings.com
SUMMARY:Towards Always-on Interaction: A Sub-mW Visual Wakeup Acceleration
  Subsystem for Smart Glasses
DESCRIPTION:Arpan Suravi Prasad, Sergio Mazzola, and Cyrill Durrer (ETH Zü
 rich); Davide Rossi (University Of Bologna); Francesco Conti (University o
 f Bologna); and Luca Benini (Università di Bologna and ETH Zurich)\n\nAlwa
 ys-on vision is essential for smart glasses, yet continuous visual-process
 ing under stringent power budgets remains a major challenge. This work pre
 sents an always-on visual wakeup acceleration-engine for sub-milliwatt han
 d gesture recognition. A compact convolutional neural network (<13k parame
 ters), trained on the HaGRID dataset, performs binary classification on 64
 ×64 inputs achieving over 92% accuracy at 3b precision, requiring less tha
 n 9kB of memory. When executed on a flexible accelerator engine implemente
 d in 7nm technology, at 100MHz, it consumes only 64nJ per frame, translati
 ng to always-on power of 11μW at 30FPS, enabling energy-efficient, always-
 on interaction for next-generation\nsmart-glasses.\n\nTopics: Quantum\n\nT
 rack: DES6. Quantum Computing, Systems\n\nSession Chairs: Hokeun Kim (Ariz
 ona State University); BaekGyu Kim (Daegu Gyeongbuk Institute of Science a
 nd Technology); Xiang Chen (Peking University); Sangyeob Kim (Yonsei Unive
 rsity); Robert M. Radway (University of Pennsylvania); Prashanth Mohan (Un
 iversity of Pittsburgh); Xiaoxuan Yang (University of Virginia, Stanford U
 niversity); Ramtin Zand (University of South Carolina); Hadi Kamali (Unive
 rsity of Central Florida); Jiafeng Xie (Villanova University); Prabuddha C
 hakraborty (University of Maine); Junichiro Kadomoto (University of Tokyo)
 ; and Yosuke Ueno (RIKEN)\n\n
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