Name
Abstract | ||
|---|---|---|
Byte.it is an exploration of the feasibility of using miniaturized, discreet hardware for teeth-clicking as hands-free input for wearable computing. Prior work has been able to identify teeth-clicking of different teeth groups. Byte.it expands on this work by exploring the use of a smaller and more discreetly positioned sensor suite (accelerometer and gyroscope) for detecting four different teeth-clicks for everyday human-computer interaction. Initial results show that an unobtrusive position on the lower mastoid and mandibular condyle can be used to classify teeth-clicking of four different teeth groups with an accuracy of 89%.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3290607.3312925 | CHI Extended Abstracts |
Keywords | Field | DocType |
discreet interfaces, hands-free interaction, microgestures, teeth gestures | Byte,Gyroscope,Suite,Accelerometer,Wearable computer,Gesture,Computer science,Human–computer interaction,Mobile device | Conference |
ISBN | Citations | PageRank |
978-1-4503-5971-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomás Vega Galvez | 1 | 8 | 2.58 |
| Shardul Sapkota | 2 | 0 | 0.34 |
| Alexandru Dancu | 3 | 50 | 8.33 |
| Patricia Maes | 4 | 7941 | 1719.73 |