Name
Title | ||
|---|---|---|
DoubleCheck: Detecting Single-Hand Cycling with Inertial Measurement Unit of Smartphone |
Abstract | ||
|---|---|---|
Riding bikes with only one hand on the handlebar can severely undermine the steering capability of riders and risk road safety. In this study, we propose a first detection framework for monitoring single-hand cycling on bicycle travel, called DoubleCheck. It is based on the premise that riders adapt their body movement during single-hand cycling, which is distinguishable to the sensors even amid noise from the exasperate road surface. The system can detect handlebar-holding under different road conditions using motion signals from a built-in inertial measurement unit (IMU) in a handlebar-mounted smartphone. We implemented the system and invited 10 participants for our evaluation experiment. Our results show that DoubleCheck achieved an F1-score of 0.94 for hand detection, proving its efficacy for real-life implementation to improve road safety. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/PerComWorkshops53856.2022.9767429 | 2022 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS) |
Keywords | DocType | Citations |
Human Activity Recognition, Mobile Sensing, Road Transportation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuefu Dong | 1 | 0 | 1.01 |
| Zengyi Han | 2 | 0 | 1.01 |
| Yuuki Nishiyama | 3 | 0 | 1.35 |
| Kaoru Sezaki | 4 | 5 | 1.79 |