Design of Drowsiness, Heart Beat Detection System and Alertness Indicator for Driver Safety

被引:0
|
作者
Anilkumar, C., V [1 ]
Ahmed, Mansoor [1 ]
Sahana, R. [1 ]
Thejashwini, R. [1 ]
Anisha, P. S. [2 ]
机构
[1] Maharaja Inst Technol, Mysore, Karnataka, India
[2] Maharaja Inst Technol, ECE Dept, Mysore, Karnataka, India
关键词
Drowsiness; Heartbeat; Head motion detection; Frame difference; ECG (Electrocardiogram); R-peak detection;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the present scenario, the automobile usage rate is increasing. Consequently, the number of accidents is also increasing. According to research, the majority of the accidents are due to driver's carelessness. The main objective of this paper is to present a technology that reduces the accidents caused due to human abnormalities. This is done by monitoring the driver's head movements in order to detect drowsiness and heart beat rate by employing image processing techniques. Drowsiness detection is accomplished by head motion detection using frame difference algorithm and heart rate detection is carried out using R-peak detection algorithm. If any abnormalities are found during detection, an alert is given to the driver through a buzzer for the safety of the driver along with the passengers. As a preliminary approach, we are simulating the process using MATLAB.
引用
收藏
页码:937 / 941
页数:5
相关论文
共 50 条
  • [41] A wearable EEG based driver drowsiness detection and alert system for accident prevention
    Chandran, A. V. S.
    Radhakrishnan, D. A.
    EPILEPSIA, 2023, 64 : 253 - 253
  • [42] An improved real time eye state identification system in driver drowsiness detection
    Hong, Tianyi
    Qin, Huabiao
    Sun, Qianshu
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 2037 - 2041
  • [43] Performance and Acceptance Evaluation of a Driver Drowsiness Detection System based on Smart Wearables
    Kundinger, Thomas
    Riener, Andreas
    Bhat, Ramyashree
    AUTOMOTIVEUI '21: 13TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, 2021, : 49 - 58
  • [44] Performance Specifications of Market Physiological Sensors for Efficient Driver Drowsiness Detection System
    Doudou, Messaoud
    Bouabdallah, Abdelmadjid
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SENSOR NETWORKS (SENSORNETS), 2018, : 99 - 106
  • [45] A context-aware EEG headset system for early detection of driver drowsiness
    Department of Electronic Engineering, Pukyong National University, Busan
    608-737, Korea, Republic of
    Sensors, 8 (20873-20893):
  • [46] Driver Drowsiness Detection Based on Facial Video Non-Contact Heart Rate Measurement
    Ding, Fusheng
    Qin, Yanbin
    Zhang, Lanxiang
    Lyu, Hongming
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2025, 29 (02) : 306 - 315
  • [47] Intelligent Driver Drowsiness Detection System Using Uncorrelated Fuzzy Locality Preserving Analysis
    Khushaba, Rami N.
    Kodagoda, Sarath
    Lal, Sara
    Dissanayake, Gamini
    2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2011, : 4608 - 4614
  • [48] Real-Time Driver-Drowsiness Detection System Using Facial Features
    Deng, Wanghua
    Wu, Ruoxue
    IEEE ACCESS, 2019, 7 : 118727 - 118738
  • [49] Visual-based Real Time Driver Drowsiness Detection System Using CNN
    Flores-Monroy, Jonathan
    Nakano-Miyatake, Mariko
    Sanchez-Perez, Gabriel
    Perez-Meana, Hector
    2021 18TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE 2021), 2021,
  • [50] Real-Time CNN-Based Driver Distraction & Drowsiness Detection System
    Almazroi, Abdulwahab Ali
    Alqarni, Mohammed A.
    Aslam, Nida
    Shah, Rizwan Ali
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 37 (02): : 2153 - 2174