Abstract
Wearable devices for activity tracking and gesture recognition have expanded rapidly in recent years. One technique that has shown great potential for this is ultrasonic imaging [10][4]. This technique has been shown to have advantages over other techniques in accuracy, surface area, placement and importantly, continuous finger angle estimations. However, ultrasonic imaging suffers from a couple of issues: First and foremost, the propagation of ultrasound into flesh suffers greatly without a suitable coupling medium; Secondly, the complexity of the driving circuitry for medical grade imaging currently renders a wearable version of this infeasible. This paper aims to address these two problems by finding a rigid coupling medium that lasts for significantly longer periods of time; and devising a new sensor configuration to reduce the device complexity, while still retaining the benefits of the technique. Furthermore, a comparison between high and low frequency systems reveal that different devices can be created with this technique for better resolution or convenience respectively.
| Original language | English |
|---|---|
| Title of host publication | ISS '17: Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces |
| Publisher | Association for Computing Machinery |
| Pages | 342-347 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450346917 |
| DOIs | |
| Publication status | Published - 17 Oct 2017 |
| Event | 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017 - Brighton, UK United Kingdom Duration: 17 Oct 2017 → 20 Oct 2017 |
Publication series
| Name | Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017 |
|---|
Conference
| Conference | 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017 |
|---|---|
| Country/Territory | UK United Kingdom |
| City | Brighton |
| Period | 17/10/17 → 20/10/17 |
Funding
This research was supported by EPSRC Doctoral Training funding through grant EP/M507994/1.
Keywords
- Gesture Detection
- Ultrasound
- Wearables
ASJC Scopus subject areas
- Human-Computer Interaction
- Hardware and Architecture
- Computer Networks and Communications
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