Demo Hour


Issue: XXIII.2 March + April 2016
Page: 8
Digital Citation
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Munchiko Sato, Rohan S. Puri, Alex Olwal, Deepak Chandra, Ivan Poupyrev, Ramesh Raskar

As interactions with handheld devices and everyday objects become increasingly common, a more seamless and effortless identification and personalization technique will be essential for an uninterrupted user experience. Zensei is a versatile technique for effortlessly identifying and personalizing objects using bioimpedance sensing through an array of electrodes. Bioimpedance information allows us to identify the physiological and behavioral aspects that are unique to a user and customize or personalize an experience for them. We created a Zensei-powered interaction prototype to showcase its capabilities and to explore various interaction scenarios.

Sato, M., Puri, R.S., Olwal A., Chandra, D., Poupyrev, I., and Raskar, R. Zensei: Augmenting objects with effortless user recognition capabilities through bioimpedance sensing. Adjunct Proc. of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, New York, 2015, 41–42. DOI:

Munehiko Sato, MIT Media Lab,
[email protected]

Rohan S. Puri, MIT Media Lab,
[email protected]

Alex Olwal, MIT Media Lab
Deepak Chandra, Google
Ivan Poupyrev, Google
Ramesh Raskar, MIT Media Lab
(in collaboration with Yosuke Ushigome and Lukas Franciszkiewicz at Takram London)