Lin Chen
ABSTRACT
Smartwatches, which are small and portable, have become dominant devices in the wearable ecosystem. However, due to the limited size of the touch screens, smartwatches typically have a poor interactive experience for users. In our previous work [3, 4], we studied appropriating the human body as a surface to extend the input through tapping-induced vibrations. In this demo, we extend previously published research by presenting a brand-new product: a smartwatch that provides on-body tapping gestures recognition. We design eight tapping gestures for four applications on the new smartwatch: music players, shortcuts, cameras, and phone calls. In 2020, we collaborated with Mad Gaze [1] and launched this smartwatch on a crowdfunding platform. Our smartwatch has exceeded the crowdfunding target amount by 27 times.
- [n.d.]. MAD Gaze watch. https://www.indiegogo.com/projects/mad-gaze-smartest-watch-with-gesture-controls#/.Google Scholar
- [n.d.]. Wearable Technology Market Size, Share Trends Analysis Report. https://www.grandviewresearch.com/industry-analysis/wearable-technology-market.Google Scholar
- Wenqiang Chen, Lin Chen, Yandao Huang, Xinyu Zhang, Lu Wang, Rukhsana Ruby, and Kaishun Wu. 2019. Taprint: Secure text input for commodity smart wristbands. In ACM Mobicom. 1--16.Google ScholarDigital Library
- Wenqiang Chen, Maoning Guan, Yandao Huang, Lu Wang, Rukhsana Ruby, Wen Hu, and Kaishun Wu. 2018. Vitype: A cost efficient on-body typing system through vibration. In IEEE SECON. IEEE, 1--9.Google Scholar
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A smartwatch product provides on-body tapping gestures recognition: demo abstract
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