Formalizing Digital Proprioception for Devices, Environments, and Users-Reference-Cited by-同舟云学术

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Formalizing Digital Proprioception for Devices, Environments, and Users

Published:2022 Issue: Volume: Page:1-10
ISSN:2367-3370
Container-title:Ambient Intelligence – Software and Applications – 12th International Symposium on Ambient Intelligence
language:
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Author:

Vatavu Radu-Daniel,Schipor Ovidiu-Andrei

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-06894-2_1

Reference45 articles.

1. Ahuja, K., Kong, A., Goel, M., Harrison, C.: Direction-of-voice (DoV) estimation for intuitive speech interaction with smart devices ecosystems. In: Proceedings of the UIST 2020, pp. 1121–1131. ACM (2020). https://doi.org/10.1145/3379337.3415588

2. Aman, J., Elangovan, N., Yeh, I., Konczak, J.: The effectiveness of proprioceptive training for improving motor function: a systematic review. Front. Hum. Neurosci. 8, 1075 (2015). https://doi.org/10.3389/fnhum.2014.01075

3. Anderson-Barnes, V.C., McAuliffe, C., Swanberg, K.M., Tsao, J.W.: Phantom limb pain-a phenomenon of proprioceptive memory? Med. Hypotheses 73(4), 555–558 (2009). https://doi.org/10.1016/j.mehy.2009.05.038

4. Human–Computer Interaction Series,2016

5. Bieber, G., Kirste, T., Urban, B.: Ambient interaction by smart watches. In: Proceedings of the PETRA 2012. ACM (2012). https://doi.org/10.1145/2413097.2413147

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