Chiron: Interpreting signals from Capacitive Patterns and Inertial Sensors for intuitive Shape Modeling.

by | Feb 17, 2014

Authors: Ansh Verma, Gabriel Culberston and Karthik Ramani
In Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems (pp. 1831-1836). ACM.

In this paper we introduce Chiron (abbr. Chironomia ): A wearable device for the hand that reads the digital and analogous signals from capacitive sensor patterns and orientation sensors, to interpret user-intent. Here, we explore two cases — (a) an unconventional and low-cost method for intuitive shape modeling and control, (b) ergonomically designing these patterns from conductive ink, for reading localized finger interactions (swiping or pinching). We also exploit Chiron’s thumb-based interaction mechanism and discuss future novel applications.

Chiron Workflow

Chiron Workflow: The user intent is captured by their hand gestures via sensors and then manipulated into shape modeling application.


Ansh Verma

Ansh Verma

Ansh Verma is a Master's Student in School of Mechanical Engineering, Purdue University since Fall 2013. He completed his undergraduate (B.Tech Mechanical) degree from SRM University, India. During his undergraduate studies he was the design engineer for his university's FSAE Team. He subsequently spent his 7th Semester (Fall 2011) at Massachusetts Institute of Technology, MA in the school of Mechanical Engineering and Computer Science. He completed his final year thesis work from MIT Media Labs, working with "Opera Of the Future" group. In 2012, he worked part-time with a national level news channel in India - NDTV, as a journalist providing assistance in making documentaries and in parallel cleared his Indian Air-force selection examination (SSB). His present research at C-Desgin Labs, focuses on Human Computer Interaction techniques like tangible media, input devices, micro-controller based intelligent systems, flexible circuits and wearable computing.