Name
Abstract | ||
|---|---|---|
This paper presents a novel user interface for handheld mobile devices by recognizing hand grip patterns. Particularly, we consider the scenario where the device is provided with an array of capacitive touch sensors underneath the exterior cover. In order to provide the users with intuitive and natural manipulation experience, we use pattern recognition techniques for identifying the users' band grips from the touch sensors. Preliminary user studies suggest that filtering out unintended user hand grip is one of the most important issues to be resolved. We discuss the details of the prototype implementation, as well as engineering challenges for practical deployment. |
Year | Venue | Keywords |
|---|---|---|
2006 | AAAI | hand grip pattern recognition,unintended user hand grip,mobile user interface,novel user interface,hand grip pattern,capacitive touch sensor,touch sensor,band grip,engineering challenge,handheld mobile device,exterior cover,preliminary user study,pattern recognition,user interface,mobile device |
Field | DocType | Citations |
Software deployment,Pattern recognition,Computer science,Filter (signal processing),Capacitive sensing,Human–computer interaction,Mobile device,Artificial intelligence,User modeling,User interface design,User interface,Natural user interface | Conference | 44 |
PageRank | References | Authors |
2.79 | 9 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kee-Eung Kim | 1 | 375 | 45.28 |
| Wook Chang | 2 | 211 | 18.21 |
| Sung-jung Cho | 3 | 142 | 11.17 |
| Jung-Hyun Shim | 4 | 47 | 3.88 |
| Hyunjeong Lee | 5 | 141 | 15.98 |
| Joonah Park | 6 | 141 | 12.37 |
| Young-Beom Lee | 7 | 57 | 4.01 |
| Sangryong Kim | 8 | 56 | 4.19 |