Name
Title | ||
|---|---|---|
Toward classification of swimming style by using underwater wireless accelerometer data |
Abstract | ||
|---|---|---|
The use of technical refinement is playing an important role in the process of optimizing training efficiency and improving results of athletes. Therefore, we aim to develop an online monitoring and feedback tool to follow the swimming training using a single waterproofed and wireless motion sensor attached on the swimmers center of body (back). In this paper, as the first step, we investigated the feature quantities to discriminate four swimming styles using the data of a single three-axis accelerometer. We found that there was a possibility that the combination of simple feature quantities could be used to discriminate four swimming styles. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2800835.2800875 | UbiComp/ISWC Adjunct |
Field | DocType | Citations |
Computer vision,Wireless,Computer science,Accelerometer,Simulation,Coaching,Motion sensors,Artificial intelligence,Underwater | Conference | 3 |
PageRank | References | Authors |
0.40 | 2 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshihisa Kon | 1 | 3 | 0.40 |
| Yuto Omae | 2 | 3 | 0.40 |
| Kazuki Sakai | 3 | 3 | 1.07 |
| Hirotaka Takahashi | 4 | 6 | 4.89 |
| Takuma Akiduki | 5 | 7 | 2.18 |
| Chikara Miyaji | 6 | 3 | 1.75 |
| Yoshihisa Sakurai | 7 | 3 | 0.73 |
| nobuo ezaki | 8 | 130 | 12.07 |
| Kazufumi Nakai | 9 | 3 | 0.40 |