The small physical size of wearable devices limits the user experience, preventing full engagement with wearable technology compared to smartphones, tablets, or laptops. Since user-device interaction is currently dominated by touch-based methods, the size of the touchscreen relative to the finger imposes significant restrictions on the interaction. There is a need to extend the input to a larger space that has the potential to support a rich set of input gestures.
To address the input challenge of wearable devices, we introduced SoundTrak, an active acoustic sensing technique that can track the finger’s position in 3D space with a mean euclidean distance of 1.305 cm in a volume of 3520 cm3 using four MEMS microphones and one speaker. The four microphones are mounted on the smartwatch or any wearable device and the speaker is worn as a ring by the user. The speaker on the ring emits a certains frequency which is captured by the set of microphones and by using the phase values of the received signal, the position of the finger can be found.
In a team of five, I was involved with most aspects of the projects and helped to shape a vague concept into a working prototype. While working on various aspects of the project like building a realtime system with  hardware interfacing low level code, 3D printing, electronics, system evaluation, video production, etc I learnt about acoustics and its possible application into HCI and related technology. This project will be presented in Ubicomp 17 conference.

Wearables, Acoustics, HCI, Smartwatch, Google Glass
Setup for evaluation with MakerBot
SoundTrak on Smartwatch
  • LinkedIn - White Circle
  • Twitter Clean
  • facebook

© Anandghan Waghmare


Setup for evaluation with MakerBot