Name
Abstract | ||
|---|---|---|
In wearable computing environments, various sensors enable the recording of user context as a life log. For enhancing the experience in a museum or exhibition, a voice recorder is useful for recording users' comments and providing explanations for the exhibitions. However, to utilize the sound log after the event, the voice recorder should attach appropriate tags to the sound data for extracting intended data from the long-term sound log. In a previous study, we have proposed an activity and context recognition method where the user carries a neck-worn receiver comprising a microphone and small speakers on his/her wrists that generate ultrasound. Our system also recognizes the location of the user and the people whom are near the user by ultrasonic ID signals generated from speakers placed in rooms and on people. In this study, we focus on embedding location/person IDs to sound logs by using ultrasonic IDs. We actually used the proposed method during a real event, and we confirmed that the wearing position of the microphone affects the accuracy of ultrasonic ID recognition because the acquired volume of ultrasound is different at each position. We propose a new method for recognizing the position of a microphone to improve the accuracy of ID recognition, and we actually use the improved method at another real event. Evaluation results confirmed that the accuracy of position recognition was 84.7 %, and the accuracy of ID recognition was 68.0 % for the proposed method, improved from 55.2 % for the conventional method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2832932.2832954 | Advances in Computer Entertainment |
Keywords | Field | DocType |
Wearable computing, ultrasound, sound log, life log, location recognition, sweep signal | Ultrasonic sensor,Embedding,Wearable computer,Computer science,Speech recognition,Exhibition,Microphone | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroki Watanabe | 1 | 26 | 13.47 |
| Tsutomu Terada | 2 | 429 | 88.99 |
| Masahiko Tsukamoto | 3 | 478 | 157.15 |