Abstract
Recently, wrist-worn smart devices such as smart-watches are becoming popular, and there is a growing need for authentication systems on such devices. Many wrist-worn devices contain a photoplethysmographic (PPG) sensor with a purpose of measuring the user's heart rate. In this paper, in addition to using the PPG sensor to measure the heart rate, we use it to detect the user's hand movement. In our proposed method, we use not only the information of the hand movement, but also that of the stationary state to improve the robustness of authentication. We obtained the PPG signals from 15 subjects, whom in the experiment were asked to bend their wrist and put it back for several times, continuously. The results of the experiments revealed that a continuous wrist movement of three times achieved an equal error rate of 11.6 %, and a movement of nine times achieved an equal error rate of 8.8 %.
Original language | English |
---|---|
Title of host publication | 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509032549 |
DOIs | |
Publication status | Published - 2016 Dec 21 |
Event | 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016 - Valencia, Spain Duration: 2016 Sep 4 → 2016 Sep 8 |
Other
Other | 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2016 |
---|---|
Country/Territory | Spain |
City | Valencia |
Period | 16/9/4 → 16/9/8 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering