Article
Intelligent RF-Based Gesture Input Devices Implemented Using e-Textiles. 公开 Deposited
https://scholar.colorado.edu/concern/articles/r781wg67z
- Abstract
- We present an radio-frequency (RF)-based approach to gesture detection and recognition, using e-textile versions of common transmission lines used in microwave circuits. This approach allows for easy fabrication of input swatches that can detect a continuum of finger positions and similarly basic gestures, using a single measurement line. We demonstrate that the swatches can perform gesture detection when under thin layers of cloth or when weatherproofed, providing a high level of versatility not present with other types of approaches. Additionally, using small convolutional neural networks, low-level gestures can be identified with a high level of accuracy using a small, inexpensive microcontroller, allowing for an intelligent fabric that reports only gestures of interest, rather than a simple sensor requiring constant surveillance from an external computing device. The resulting e-textile smart composite has applications in controlling wearable devices by providing a simple, eyes-free mechanism to input simple gestures.
- Creator
- Date Issued
- 2017-01-24
- Academic Affiliation
- Journal Title
- Journal Issue/Number
- 2
- Journal Volume
- 17
- Subject
- 最新修改
- 2019-12-06
- Identifier
- PubMed ID: 28125010
- Resource Type
- 权利声明
- DOI
- ISSN
- 1424-8220
- Language
- License
关联
单件
缩略图 | 标题 | 上传日期 | 公开度 | 行动 |
---|---|---|---|---|
intelligentRfBasedGestureInputDevicesImplementedUsingETe.pdf | 2019-12-06 | 公开 | 下载 |