Name
Abstract | ||
|---|---|---|
Although gaze has been widely studied for mobile interactions, eyelid-based gestures are relatively understudied and limited to few basic gestures (e.g., blink). In this work, we propose a gesture grammar to construct both basic and compound eyelid gestures. We present an algorithm to detect nine eyelid gestures in real-time on mobile devices and evaluate its performance with 12 participants. Results show that our algorithm is able to recognize nine eyelid gestures with 83% and 78% average accuracy using user-dependent and user-independent models respectively. Further, we design a gesture mapping scheme to allow for navigating between and within mobile apps only using eyelid gestures. Moreover, we show how eyelid gestures can be used to enable cross-application and sensitive interactions. Finally, we highlight future research directions.
|
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3422852.3423479 | MM '20: The 28th ACM International Conference on Multimedia
Seattle
WA
USA
October, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-8151-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Li | 1 | 397 | 90.65 |
| Mingming Fan | 2 | 9 | 3.46 |
| Ying Han | 3 | 0 | 0.34 |
| Khai N. Truong | 4 | 2002 | 162.82 |