Instruction Set Extension of a RiscV Based SoC for Driver Drowsiness Detection-Reference-Cited by-同舟云学术

Instruction Set Extension of a RiscV Based SoC for Driver Drowsiness Detection

Published:2022 Issue: Volume:10 Page:58151-58162
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mousavikia Seyed Kian¹^ORCID,Gholizadehazari Erfan²^ORCID,Mousazadeh Morteza¹^ORCID,Yalcin Siddika Berna Ors²^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran

2. Department of Electronics and Communication Engineering, Istanbul Technical University (ITU), Maslak, Istanbul, Turkey

Funder

Scientific and Technological Research Council of Turkey (TUBITAK) and the Ministry of Science, Research and Technology of Iran

Urmia University and Istanbul Technical University with the support of Tabriz University and the Center for International Scientific Cooperation of MSRT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09781409.pdf?arnumber=9781409

Reference31 articles.

1. Microneedle Array Electrode-Based Wearable EMG System for Detection of Driver Drowsiness through Steering Wheel Grip

2. Driver Fatigue Detection Systems: A Review

3. Smart driver assistance system using raspberry pi and sensor networks;kumar;Microprocessors Microsyst,2020

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3. Awake Guard: An Arduino-Based Real-Time System for Enhancing Driver Safety Through Drowsiness Detection;2023 International Conference on Next Generation Electronics (NEleX);2023-12-14

4. Machine Learning Approach for Real-Time Drowsiness Detection: Aware Drive;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

5. A High Performance and Robust FPGA Implementation of a Driver State Monitoring Application;Sensors;2023-07-12