Name
Abstract | ||
|---|---|---|
Japan plans to host the Tokyo Olympic Games and the Paralympic Games in 2020. To do so, Japan's government and Tokyo metropolitan government are working on welfare environment improvements around stadiums and public facilities. In addition, the rapid aging of the population resulting from the decline in the birthrate is increasing the number of wheelchair users. Nevertheless, many difficulties are associated with going outdoors in a wheelchair. Being able to discern road surfaces that are suitable for wheelchairs can provide support information for users who visit an area for the first time. The development of assistive technologies considered herein can provide optimal route information to a destination and road surface information that requires attention. This study measures the acceleration rate and angular rate of the wheelchairs during outdoor use and discerns changes in the road conditions. We produced a prototype sensor board for measuring vibration location information during running. This sensor board is mounted along with an acceleration sensor, gyro sensor, and GPS module. It can collect location information and sensor data to evaluate road conditions. The experiment evaluates measurement results obtained when the wheelchair moves on the asphalt roads and an interlocking concrete block road surface. Results of frequency analysis of acceleration sensor data enable an observer to distinguish the asphalt road surface and the interlocking concrete block road surfaces.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3325291.3325377 | Proceedings of the 7th ACIS International Conference on Applied Computing and Information Technology |
Keywords | Field | DocType |
Assistive Technology, Barrier-free, Interlocking Concrete Block Road Surface, Sensor Data, Vibration characteristics | Wheelchair,Computer science,Transport engineering,Road surface | Conference |
ISBN | Citations | PageRank |
978-1-4503-7173-5 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Satoshi Ohashi | 1 | 0 | 0.34 |
| Mio Aochi | 2 | 0 | 0.34 |
| Akira Shionoya | 3 | 1 | 0.70 |