Battery-Free Identification Token for Touch Sensing Devices

Phuc Nguyen, Ufuk Muncuk, Ashwin Ashok, Kaushik R. Chowdhury, Marco Gruteser, Tam Vu
2016 Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM - SenSys '16  
This paper proposes the design and implementation of lowenergy tokens for smart interaction with capacitive touchenabled devices by associating the token's identity with its contact, or touch. The proposed token's design features two key novel technical components: (1) a through-touch-sensor low-energy communication method for token identification and (2) a touch-sensor energy harvesting technique. The communication mechanism involves the token transmitting its identity (ID) directly through
more » ... touch-sensor by artificially modifying the effective capacitance between the touchsensor and token surfaces. This approach consumes significantly lower energy compared to traditional electrical signal modulation approaches. By enabling the token to harvest energy from touch-screen sensors or touch-surfaces the token is rendered battery-free. Through experimental evaluations using a prototype implementation, the proposed design is shown to achieve at least 95% identification accuracy. It is also shown to consume less energy than competitive techniques (NFC P2P and Bluetooth Low-Energy) for communicating a short ID sequence. The adoption of this technology among users is evaluated through a user study on 12 subjects.
doi:10.1145/2994551.2994566 dblp:conf/sensys/NguyenMACGV16 fatcat:34jcwua6a5dxxawix632yctnr4