TY - GEN
T1 - On-Device Eye Tracking System with Dual Lightweight AI Processor
AU - Oh, Jongwon
AU - Kim, Raehyeong
AU - Kim, Jinyeol
AU - Lee, Seung Eun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - With the growth of personalized devices, in various field, eye tracking research is conducted for enhancing user experience. Also, the recent research focuses on the method based on artificial intelligence (AI) algorithm for improving the performance. However, the eye tracking through AI algorithm needs significant resources. For this reason, the AI-based methods have limitations applying to embedded system. For solving the problems, in this paper, we propose an eye tracking system with two AI processors based on light weight algorithm, k-nearest neighbor (k-NN). The processor was implemented on a field programmable gate array (FPGA), and the eye tracking system was verified through visible light eye images. The results demonstrate the feasibility of the proposed eye tracking system.
AB - With the growth of personalized devices, in various field, eye tracking research is conducted for enhancing user experience. Also, the recent research focuses on the method based on artificial intelligence (AI) algorithm for improving the performance. However, the eye tracking through AI algorithm needs significant resources. For this reason, the AI-based methods have limitations applying to embedded system. For solving the problems, in this paper, we propose an eye tracking system with two AI processors based on light weight algorithm, k-nearest neighbor (k-NN). The processor was implemented on a field programmable gate array (FPGA), and the eye tracking system was verified through visible light eye images. The results demonstrate the feasibility of the proposed eye tracking system.
KW - aritificial intelligence
KW - embedded system
KW - eye tracking
UR - https://www.scopus.com/pages/publications/85213349068
U2 - 10.1109/ISOCC62682.2024.10762123
DO - 10.1109/ISOCC62682.2024.10762123
M3 - Conference contribution
AN - SCOPUS:85213349068
T3 - Proceedings - International SoC Design Conference 2024, ISOCC 2024
SP - 344
EP - 345
BT - Proceedings - International SoC Design Conference 2024, ISOCC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International System-on-Chip Design Conference, ISOCC 2024
Y2 - 19 August 2024 through 22 August 2024
ER -