Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network
Clicks: 196
ID: 111556
2019
The diversion of a driver’s attention from driving can be catastrophic. Given that conventional button- and touch-based interfaces may distract the driver, developing novel distraction-free interfaces for the various devices present in cars has becomes necessary. Hand gesture recognition may provide an alternative interface inside cars. Given that cars are the targeted application area, we determined the optimal location for the radar sensor, so that the signal reflected from the driver’s hand during gesturing is unaffected by interference from the motion of the driver’s body or other motions within the car. We implemented a Convolutional Neural Network-based technique to recognize the finger-counting-based hand gestures using an Impulse Radio (IR) radar sensor. The accuracy of the proposed method was sufficiently high for real-world applications.
| Reference Key |
ahmed2019sensorsfinger-counting-based
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Shahzad Ahmed;Faheem Khan;Asim Ghaffar;Farhan Hussain;Sung Ho Cho;Ahmed, Shahzad;Khan, Faheem;Ghaffar, Asim;Hussain, Farhan;Cho, Sung Ho; |
| Journal | sensors |
| Year | 2019 |
| DOI | 10.3390/s19061429 |
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.