Multimodal soft sensor processing based on optical hyperdimensionality

Satoshi Sunada; Kei Kitagawa; Tomoaki Niiyama

doi:10.1117/12.3027531

4 October 2024 Multimodal soft sensor processing based on optical hyperdimensionality

Satoshi Sunada, Kei Kitagawa, Tomoaki Niiyama

Author Affiliations +

Proceedings Volume PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024; PC131180P (2024) https://doi.org/10.1117/12.3027531
Event: Nanoscience + Engineering, 2024, San Diego, California, United States

Abstract

Hyperdimensional computing is an emerging computing paradigm that leverages distributed representations of input data. The hyperdimensional distributed representations facilitate energy-efficient, low-latency, and noise-robust computations using low-precision and basic arithmetic operations. In this presentation, we introduce optical hyperdimensional distributed representations using laser speckles for adaptive, efficient, and low-latency optical in-sensor processing. We focus on applications for optical soft-touch interfaces and tactile sensors. We demonstrate that this optical approach achieves high accuracy in touch or tactile recognition while significantly reducing the amount of training data and computational burdens compared to traditional deep learning-based sensing approaches.

Conference Presentation

Citation Download Citation

Satoshi Sunada, Kei Kitagawa, and Tomoaki Niiyama "Multimodal soft sensor processing based on optical hyperdimensionality", Proc. SPIE PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024, PC131180P (4 October 2024); https://doi.org/10.1117/12.3027531

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