| Title |
Mesh Network of eHealth Intelligent Agents in Smart City: A Case Study on Assistive Devices for Visually Impaired People |
| ID_Doc |
37903 |
| Authors |
Zubov, D; Kose, U; Ramadhan, AJ; Kupin, A |
| Title |
Mesh Network of eHealth Intelligent Agents in Smart City: A Case Study on Assistive Devices for Visually Impaired People |
| Year |
2018 |
| Published |
|
| DOI |
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| Abstract |
Over 253 million people across the world today are estimated to be blind or visually impaired. White canes and guide dogs remain the most preferred methods of aid despite the availability of smart technologies and over a hundred assistive electronic devices developed within the last three decades. The main sticking points are unaffordability, implementation of different technologies in one device, and integration with the existing network. The developed assistive device is designed to overcome these obstacles. It is low-cost and priced competitively at USD 70. It is based on the palm-sized computer Raspberry Pi 3 B with Pi camera and ultrasonic sensor HC-SR04, and it features MQTT IoT protocol allowing it to communicate with other intelligent eHealth agents. The basic functionalities of the device are measurement of the distance to the nearest obstacle using the detector HC-SR04 and recognition of human faces by the OpenCV and face recognition module of Adam Geitgey. Objects and places around the B&VI are indicated by the Bluetooth devices of classes 1-3 and iBeacons. Intelligent eHealth agents cooperate with one another to efficiently route data from/to clients in the smart city mesh network via MQTT and BLE protocols. The presented soft-/hardware was successfully tested and accorded a score of 95.5 %. |
| Author Keywords |
mesh network; eHealth intelligent agent; blind and visually impaired; smart city; Raspberry Pi 3 B; HC-SR04; OpenCV |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000519870300007 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Biomedical |
| Research Area |
Computer Science; Engineering |
| PDF |
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