Name
Abstract | ||
|---|---|---|
Bathing is an important part of daily activities for people of all ages. However, existing shower systems designed for healthy adults can be a challenge for elder adults with limitations or people in wheelchairs. We propose an adaptive assistive smart shower system, which is capable of detecting the user's abilities and disabilities, and then provides the necessary aids automatically. The shower system considers three user classes: normal healthy user, slow walking user and a user in a wheelchair. A wearable Angel Sensor is utilized to collect the user's health data. A computer then processes the data and classifies the user. The shower system provides the necessary assistance based on the classification result. The average classification accuracy is 95. 2%. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CHASE.2017.89 | 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) |
Keywords | Field | DocType |
Smart,adjustable,assistance,shower system | Wheelchair,Shower,Activities of daily living,Systems engineering,Wearable computer,Human–computer interaction,Engineering,Embedded system | Conference |
ISBN | Citations | PageRank |
978-1-5090-4723-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengxuan Ma | 1 | 1 | 1.76 |
| Benjavicha Hotrabhavananda | 2 | 0 | 0.34 |
| Justin Hall | 3 | 0 | 0.34 |
| Marjorie Skubic | 4 | 1045 | 105.36 |