Mirage: Exploring Interaction Modalities Using Off-Body Static Electric Field Sensing

Mirage proposes an effective non body contact technique to infer the amount and type of body motion, gesture, and activity. This approach involves passive measurement of static electric field of the environment flowing through sense electrode. This sensing method leverages electric field distortion by the presence of an intruder (e.g. human body).

MirageThumb Mirage1

Mirage sensor has simple analog circuitry and supports ultra-low power operation. It requires no instrumentation to the user, and can be configured as environmental, mobile, and peripheral-attached sensor.


We report on a series of experiments with 10 participants showing robust activity and gesture recognition, as well as promising results for robust location classification and multiple user differentiation.

Mirage2 Mirage3

To further illustrate the utility of our approach, we demonstrate real-time interactive applications including activity monitoring, and two games which allow the users to interact with a computer using body motion and gestures.




(primary contact) Adiyan MujibiyaResearch Scientist, Rakuten Institute of Technology & Rekimoto-Lab – The University of Tokyo
Jun Rekimoto – The University of Tokyo & Sony CSL


Adiyan Mujibiya and Jun Rekimoto. 2013. Mirage: exploring interaction modalities using off-body static electric field sensing. In Proceedings of the 26th annual ACM symposium on User interface software and technology (UIST ’13). ACM, New York, NY, USA, 211-220. DOI=10.1145/2501988.2502031 http://doi.acm.org/10.1145/2501988.2502031

Adiyan Mujibiya and Jun Rekimoto. 2013. Mirage: body motion and activity recognition using off-body static electric field sensing. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys ’13). ACM, New York, NY, USA, , Article 65 , 2 pages. DOI=10.1145/2517351.2517383 http://doi.acm.org/10.1145/2517351.2517383



 author = {Mujibiya, Adiyan and Rekimoto, Jun},
 title = {Mirage: Exploring Interaction Modalities Using Off-body Static Electric Field Sensing},
 booktitle = {Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology},
 series = {UIST '13},
 year = {2013},
 isbn = {978-1-4503-2268-3},
 location = {St. Andrews, Scotland, United Kingdom},
 pages = {211--220},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/2501988.2502031},
 doi = {10.1145/2501988.2502031},
 acmid = {2502031},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {activity recognition, electric field sensing, gesture recognition, motion detection, non body contact sensing},