Citation
Shameer, Mohamed and Senanayake, Mudiyanselage Namal Arosha (2024) Intra-Driver Foot Dynamics Using Motion-Core IoT. Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, 117. pp. 601-617. ISSN 1876-1100 Full text not available from this repository.Abstract
The intra operability of the feet of a driver during driving can deduce the safety of a respective driver. The lack of solid research in this topic has motivated us to delve on it further. Based on the recent advancements of hybrid intelligence, a Pervasive Safety Pattern Case Library (PSP CL) was built using novel Data Driven Diver Based IoT Architecture introduced. This architecture involves the use of Motion-core IoT shoe from ZeBlok and Machine Learning techniques. By using the difference of neighbouring driving pattern sets of the Case Library formed, the safest case pattern set for intra-foot dynamics during the driving is proven. The Suitability and its adaptability parameters derived were the basis to decide on the safest driving pattern set. By searching and sorting the exact raw time of the driving journey with respect to the PSP Cases and the metrics processed, the safe cases within a particular session of driving for each driver under consideration was deduced. As a result, the implementation of a recommender system was verified and validated that visualized relevant safe pattern sets using intra-foot dynamics. Thus, the system built shall be enhanced into real time system by the inclusion of relevant data visualization tools on a dashboard of a vehicle as the monitoring tool to recognize and control the intra-foot dynamics.
Item Type: | Article |
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Uncontrolled Keywords: | IoT |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
Divisions: | Faculty of Information Science and Technology (FIST) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 07 Feb 2025 03:55 |
Last Modified: | 07 Feb 2025 03:56 |
URII: | http://shdl.mmu.edu.my/id/eprint/13407 |
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