Name
Title | ||
|---|---|---|
Exploiting thread-level parallelism in template-based gesture recognition with dynamic time warping |
Abstract | ||
|---|---|---|
Mobile devices have become ubiquitous, powerful computing devices. While their use scenarios require new input methods, their typical many-core computing architectures allow for new ways to implement these input methods. In this paper the suitability of many-core digital signal processors for online hand gesture recognition is evaluated. To this end, a system consisting of a data glove with three accelerometers and a many-core digital signal processor board is presented. Experiments assess realtime properties in hand gesture recognition on the many-core processing platform. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2790044.2790050 | iWOAR |
Field | DocType | Citations |
Wired glove,Dynamic time warping,Digital signal processor,Computer science,Task parallelism,Accelerometer,Gesture recognition,Real-time computing,Mobile device,Computer hardware | Conference | 1 |
PageRank | References | Authors |
0.37 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Grützmacher | 1 | 2 | 1.74 |
| Johann-Peter Wolff | 2 | 2 | 2.10 |
| Christian Haubelt | 3 | 796 | 68.77 |