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Publication Type : Conference Paper
Publisher : IEEE
Source : 2020 International Conference on Inventive Computation Technologies (ICICT), IEEE, Coimbatore, India (2020)
Url : https://ieeexplore.ieee.org/document/9112538
ISBN : 9781728146850
Accession Number : 19675398
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication
Year : 2020
Abstract : The existing mechanism of driver seat adjustment in the automobile industry is outdated. It adversely affects the body of the driver when he/she adjusts the seat for a comfortable position. The comfortable seat position is different for each person. This research work explains about reducing manual effort in seat adjustment by automating the seat adjustment process by using face recognition. The seat adjustment process deals with the movement of the seat in horizontal, vertical and inclination directions by rotating the motors fitted within the seat. The comfort seat position of a driver contains three parameters for three directions of seat movement. Those parameters are different for different drivers and they are stored in the memory. When the camera recognizes a face, the seat is adjusted to his/her comfortable position which is saved in the database.
Cite this Research Publication : M. Vamsi, Dr. Soman K. P., and Guruvayurappan, K., “Automatic Seat Adjustment using Face Recognition”, in 2020 International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India, 2020.