Calico

Author:

Sathya Anup1,Li Jiasheng1,Rahman Tauhidur2,Gao Ge3,Peng Huaishu1

Affiliation:

1. University of Maryland, College Park, Department of Computer Science, USA

2. University of California, San Diego, Halicioğlu Data Science Institute, USA

3. University of Maryland, College Park, School of Information Studies, USA

Abstract

We explore Calico, a miniature relocatable wearable system with fast and precise locomotion for on-body interaction, actuation and sensing. Calico consists of a two-wheel robot and an on-cloth track mechanism or "railway," on which the robot travels. The robot is self-contained, small in size, and has additional sensor expansion options. The track system allows the robot to move along the user's body and reach any predetermined location. It also includes rotational switches to enable complex routing options when diverging tracks are presented. We report the design and implementation of Calico with a series of technical evaluations for system performance. We then present a few application scenarios, and user studies to understand the potential of Calico as a dance trainer and also explore the qualitative perception of our scenarios to inform future research in this space.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference53 articles.

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4. Andreas Bulling , Ulf Blanke , and Bernt Schiele . 2014. A Tutorial on Human Activity Recognition Using Body-Worn Inertial Sensors. ACM Comput. Surv. 46, 3 , Article 33 (Jan. 2014 ), 33 pages. https://doi.org/10.1145/2499621 10.1145/2499621 Andreas Bulling, Ulf Blanke, and Bernt Schiele. 2014. A Tutorial on Human Activity Recognition Using Body-Worn Inertial Sensors. ACM Comput. Surv. 46, 3, Article 33 (Jan. 2014), 33 pages. https://doi.org/10.1145/2499621

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