Name
Abstract | ||
|---|---|---|
Having the correct posture is essentially important in our life to make our body functions properly and keeps us healthy. In our previous work, a posture detection system using consumer mobile devices for checking proper posture in a daily exercise was proposed, where, in addition to acceleration values obtained from each device sensor, the possiblitly of using the strength of RSSI (Received Signal Strength Indicator) was investigated for measuring the distance between portable devices. However, we found that the strength of RSSI was unstable for the distance between 90 cm to 160 cm and could not be used for measuring distance. In this study, we show the basic design for tracking positions of human body parts, where the distance between human body parts is measured using sound wave through a set of speaker and microphone that is embedded as standard feature in many of the recent portable devices. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/WAINA.2017.135 | 2017 31ST IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (IEEE WAINA 2017) |
Keywords | Field | DocType |
Posture detection, motion capture, acceleration sensor, foot plantar sensor, information embedding | Data structure,Computer vision,Distance measurement,Motion detection,Computer science,Mobile device,Acceleration,Artificial intelligence,Human body,Microphone,Sound wave | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masatoshi Matsumoto | 1 | 0 | 0.68 |
| Kazumasa Kaneta | 2 | 0 | 0.34 |
| Miyabi Naruoka | 3 | 0 | 0.34 |
| Hiroshi Tanaka | 4 | 56 | 13.71 |
| Kosuke Takano | 5 | 48 | 15.61 |