Demo of Z-Ring: Context-Aware Subtle Input Using Single-Point Bio-Impedance Sensing. (Best Demo)
Published in UIST, 2023
Recommended citation: Anandghan Waghmare, Jiexin Ding, Ishan Chatterjee, and Shwetak Patel. 2023. Demo of Z-Ring: Context-Aware Subtle Input Using Single-Point Bio-Impedance Sensing. In Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST 23 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 79, 1–3. http://djx06.github.io/files/paper4_ZRingDemo.pdf
This paper presents Z-Ring, a novel wearable device that uses radio frequency (RF) based sensing to offer unique capabilities for human-computer interaction, including subtle input, object recognition, user identification, and passive surface interaction. With only a single sensing modality, Z-Ring achieves diverse and concurrent interactions that can enhance the user experience. We illustrate the potential of Z-Ring to enable seamless context-aware interactions via a custom music player application. In the future, we plan to expand Z-Ring’s functionality with user customization and explore usage for additional applications.
My contributions:
- Developed a music player demo to show that the ring can enable context-aware interactions.
- Conducted the user study and trained the gesture classification model.