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ACM Hum.-Comput. Interact."],"published-print":{"date-parts":[[2023,6,14]]},"abstract":"<jats:p>Existing artificial skin interfaces lack on-skin AI compute that can provide fast neural network inference for time-critical applications. In this paper, we propose AI-on-skin - a wearable artificial skin interface integrated with a neural network hardware accelerator that can be reconfigured to run diverse neural network models and applications. AI-on-skin is designed to scale to the entire body, comprising tiny, low-power, accelerators distributed across the body. We built 7 AI-on-Skin application prototypes and our user trials show AI-On-Skin achieving 20X and 50X speedup over off-body inference via Bluetooth and on-body centralized microprocessor based inference approach respectively. We also project the power performance of AI-on-skin with our accelerator fabricated as silicon chips instead of emulated on FPGAs and show 10X further power savings. To the best of our knowledge, AI-on-Skin is the first ever wearable prototype to demonstrate skin interfaces with on-body AI inference.<\/jats:p>","DOI":"10.1145\/3593239","type":"journal-article","created":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:10:41Z","timestamp":1687198241000},"page":"1-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["AI-On-Skin: Towards Enabling Fast and Scalable On-body AI Inference for Wearable On-Skin Interfaces"],"prefix":"10.1145","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3918-157X","authenticated-orcid":false,"given":"Ananta Narayanan","family":"Balaji","sequence":"first","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9010-6519","authenticated-orcid":false,"given":"Li-Shiuan","family":"Peh","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2023,6,19]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753394"},{"key":"e_1_2_1_2_1","first-page":"1","volume-title":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.","author":"Shekhar Aditya","year":"2018","unstructured":"Aditya Shekhar Nittala et al. \"Multi-touch skin: A thin and flexible multi-touch sensor for on-skin input \". 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