Yanke Tan, Sang Ho Yoon, Karthik Ramani
BikeGesture: User Elicitation and Performance of Micro Hand Gesture as Input for Cycling
In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA' 17: 2147-2154), Denver, CO, May 6-11, 2017

Abstract: The use of hand gestures has a potential as a promising input metaphor. Wearables like smart textile and data gloves can provide hand gesture recognition to potentially replace, augment or improve existing input methods. Although recent bikes provide advanced functions with electro-mechanical components, the input metaphor still relies on mechanical switches or levers. In this paper, we investigate the acceptance and performance of using hand gesture during cycling. Through an observational study with 16 users, we devised a taxonomy of hand gestures. Users prefer subtle micro hand gestures to ensure safe cycling while maintaining a flexible controllability. We also implemented a wearable prototype that recognizes these gestures. In our evaluation, the prototype shows an average of 92 % accuracy while showing similar response time to existing mechanical inputs.

Sang Ho Yoon
About Sang Ho Yoon

Sang Ho graduated from Carnegie Mellon University with B.S degree in 2008 with major in mechanical engineering and minor in robotics. In the same year, he graduated from the same school with M.S degree in mechanical engineering. After graduation, he worked at LG display & LG Electronics. There, he worked as a research engineer to carry out several projects like ‘Transparent & Public Display’ and ‘Assistive & Rehabilitation Robot’.¬†Currently, he is a second-year Ph.D student under Prof.Ramani as a research assistant. Current study focuses on tangible & wearable interface application and sensor development for natural human computer interaction.

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Posted in 2017, Embedded Input, Karthik Ramani, Publications, Recent Publications, Sang Ho Yoon, TANGIBLE, EMBEDDED & EMBODIED INTERFACES