Nfcsense: Data-defined rich-id motion sensing for fluent tangible interaction using a commodity nfc reader

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Abstract

This paper presents NFCSense, a data-defned rich-ID motion sensing technique for fuent tangible interaction design by using commodity near-feld communication (NFC) tags and a single NFC tag reader. An NFC reader can reliably recognize the presence of an NFC tag at a high read rate (~300 reads/s) with low latency, but such high-speed reading has rarely been exploited because the reader may not efectively resolve collisions of multiple tags. Therefore, its human-computer interface applications have been typically limited to a discrete, hands-on interaction style using one tag at a time. In this work, we realized fuent, hands-of, and multi-tag tangible interactions by leveraging gravity and anti-collision physical constraints, which support efortless user input and maximize throughput. Furthermore, our system provides hot-swappable interactivity that enables smooth transitions throughout extended use. Based on the design parameters explored through a series of studies, we present a design space with proof-of-concept implementations in various applications.

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Liang, R. H., & Guo, Z. (2021). Nfcsense: Data-defined rich-id motion sensing for fluent tangible interaction using a commodity nfc reader. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3411764.3445214

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