dc.contributor.author |
Huang, KM |
|
dc.contributor.author |
Hsieh, TL |
|
dc.contributor.author |
Yi, CA |
|
dc.contributor.author |
Samani, H |
|
dc.contributor.author |
Yang, CY |
|
dc.contributor.editor |
Sudantha, BH |
|
dc.date.accessioned |
2022-11-18T08:02:21Z |
|
dc.date.available |
2022-11-18T08:02:21Z |
|
dc.date.issued |
2019-12 |
|
dc.identifier.citation |
K. -M. Huang, T. -L. Hsieh, C. -A. Yi, H. Samani and C. -Y. Yang, "IoT Driving Assistant System for Elderly," 2019 4th International Conference on Information Technology Research (ICITR), 2019, pp. 1-6, doi: 10.1109/ICITR49409.2019.9407792. |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/19567 |
|
dc.description.abstract |
Nowadays in this modern globalizing world, elders are given a more prominent place in the society. Thus a lot of new technological innovations are being invented in order to facilitate their day to day activities. The elder driving assistive technology is one such big step which has introduced to cater the demands of elderly people. This technology is beneficial in increasing safety of the driver and passengers, and also has affect in reducing the public cost of society safety. This study proposes a driver assistive tool for elder drivers which respond immediately in case of potential accidents by giving appropriate warning or arrestments. This tool monitors the movement of the vehicle dynamically with the behavior of the driver, detects the irregularity between the driver and the vehicle. Sensory devices which have been installed in the vehicle include the imaging camera, inertial measurement unit, Lidar scanner, steering wheel angle sensor, depression sensors on accelerator pedal and brake pedal to form a sensory network for the purpose of collecting signals for irregularity identification. In order to detect the surrounding suspicious objects, an array of ultrasonic sensors was installed on the vehicle and to evaluate the irregularity level of the danger, a sensor harness was integrated. When the risk level reaches a significant level, a danger classification information will be delivered to the processing center and a corresponding ensemble of sensory feedback will be activated to remind to the driver. Driver will be notified via the signal interface automatically, which has been implemented to resist the operation or even stop the vehicle immediately when a dangerous situation related to inaccurate behavior is detected to prevent potential disasters. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lanka |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/9407792 |
en_US |
dc.subject |
Internet of things |
en_US |
dc.subject |
Assistive technology |
en_US |
dc.subject |
Driving safety |
en_US |
dc.title |
iot driving assistant system for elderly |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
IT |
en_US |
dc.identifier.department |
Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. |
en_US |
dc.identifier.year |
2019 |
en_US |
dc.identifier.conference |
4th International Conference in Information Technology Research 2019 |
en_US |
dc.identifier.place |
Colombo,Sri Lanka |
en_US |
dc.identifier.proceeding |
Proceedings of the 4th International Conference in Information Technology Research 2019 |
en_US |
dc.identifier.doi |
doi: 10.1109/ICITR49409.2019.9407792. |
en_US |