CN108113657A8 - 一种基于d-s证据理论的驾驶员疲劳检测方法 - Google Patents
一种基于d-s证据理论的驾驶员疲劳检测方法 Download PDFInfo
- Publication number
- CN108113657A8 CN108113657A8 CN201611076352.0A CN201611076352A CN108113657A8 CN 108113657 A8 CN108113657 A8 CN 108113657A8 CN 201611076352 A CN201611076352 A CN 201611076352A CN 108113657 A8 CN108113657 A8 CN 108113657A8
- Authority
- CN
- China
- Prior art keywords
- fatigue
- decision
- driver
- fatigue characteristic
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/10—Athletes
Abstract
本发明公开了一种基于粗糙集与D-S证据理论的驾驶员疲劳检测方法,主要包括:通过传感器采集心率、脉搏、血氧饱和度、呼吸信号的数据构成初级疲劳特征参数;通过粗糙集属性约简方法提取最优疲劳特征参数,由疲劳特征参数构造疲劳属性决策表,将疲劳决策表进行数据离散化,建立差别矩阵进行属性约简,从而建立疲劳决策集,通过决策集输出的数据归一化处理后,采用模糊神经网络与D-S理论相融合,决策驾驶员疲劳结果。本发明根据人体生理特征,结合智能信息处理方法识别汽车驾驶员的疲劳特征,拥有明显的社会与经济效益,对减少因为疲劳驾驶造成的交通事故有重要意义。
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611076352.0A CN108113657A (zh) | 2016-11-30 | 2016-11-30 | 一种基于d-s证据理论的驾驶员疲劳检测方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611076352.0A CN108113657A (zh) | 2016-11-30 | 2016-11-30 | 一种基于d-s证据理论的驾驶员疲劳检测方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108113657A CN108113657A (zh) | 2018-06-05 |
CN108113657A8 true CN108113657A8 (zh) | 2019-08-30 |
Family
ID=62225965
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611076352.0A Pending CN108113657A (zh) | 2016-11-30 | 2016-11-30 | 一种基于d-s证据理论的驾驶员疲劳检测方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108113657A (zh) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108852380A (zh) * | 2018-07-09 | 2018-11-23 | 南京邮电大学 | 基于ecg信号的疲劳、情绪分析方法 |
CN108694814A (zh) * | 2018-07-11 | 2018-10-23 | 中国医学科学院生物医学工程研究所 | 疲劳驾驶预警方法、装置、设备及存储介质 |
CN108694813B (zh) * | 2018-07-11 | 2020-08-14 | 中国医学科学院生物医学工程研究所 | 基于驾驶行为判定疲劳驾驶的方法及装置 |
CN110400446B (zh) * | 2019-08-02 | 2021-03-26 | 重庆文理学院 | 一种用于游泳池溺水检测的方法 |
CN110598789A (zh) * | 2019-09-12 | 2019-12-20 | 首都师范大学 | 一种基于模糊感知器的人体疲劳状态预测方法及系统 |
CN110936962B (zh) * | 2019-09-17 | 2021-05-25 | 天津职业技术师范大学(中国职业培训指导教师进修中心) | 一种同时监测驾驶中生理和心理疲劳的方法 |
CN110731787B (zh) * | 2019-09-26 | 2022-07-22 | 首都师范大学 | 一种基于多源数据信息的疲劳状态因果网络方法 |
CN112419719B (zh) * | 2020-11-18 | 2022-06-07 | 济南北方交通工程咨询监理有限公司 | 高速公路交通运营安全评价方法及系统 |
CN115721317B (zh) * | 2022-10-20 | 2023-11-21 | 湖南万脉医疗科技有限公司 | 一种基于心肺信息的生理状态监测方法和监测仪 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102406507B (zh) * | 2010-09-20 | 2013-10-23 | 天津职业技术师范大学 | 基于人体生理信号的汽车驾驶员疲劳监测方法 |
WO2015138416A1 (en) * | 2014-03-10 | 2015-09-17 | Cvg Management Corporation | Health monitoring |
CN105877766B (zh) * | 2016-06-21 | 2019-02-05 | 东北大学 | 一种基于多生理信号融合的精神状态检测系统及方法 |
CN106236046A (zh) * | 2016-09-05 | 2016-12-21 | 合肥飞鸟信息技术有限公司 | 驾驶员疲劳监测系统 |
CN106236047A (zh) * | 2016-09-05 | 2016-12-21 | 合肥飞鸟信息技术有限公司 | 驾驶员疲劳监测系统的控制方法 |
-
2016
- 2016-11-30 CN CN201611076352.0A patent/CN108113657A/zh active Pending
Also Published As
Publication number | Publication date |
---|---|
CN108113657A (zh) | 2018-06-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108113657A8 (zh) | 一种基于d-s证据理论的驾驶员疲劳检测方法 | |
EP2281506B1 (en) | Method and system for determining an individual's state of attention | |
CA3003765C (en) | Drowsiness onset detection | |
Teng et al. | EEG-based detection of driver emergency braking intention for brain-controlled vehicles | |
Lee et al. | A smartphone-based driver safety monitoring system using data fusion | |
CN106236046A (zh) | 驾驶员疲劳监测系统 | |
CN107679636A (zh) | 一种基于网约车的驾驶员安全评估方法 | |
CN106236047A (zh) | 驾驶员疲劳监测系统的控制方法 | |
Zuo et al. | Driver distraction detection using bidirectional long short-term network based on multiscale entropy of EEG | |
CN103932719A (zh) | 疲劳驾驶检测技术 | |
Katsis et al. | Emotion recognition in car industry | |
CN110264670A (zh) | 基于客运车辆司机疲劳驾驶状态分析装置 | |
Manikandan et al. | Automobile drivers distraction avoiding system using galvanic skin responses | |
Suman et al. | EOG based vigilance monitoring system | |
Bhunu et al. | Prostitution and drug (alcohol) misuse: the menacing combination | |
Jang et al. | Emotion classification by machine learning algorithm using physiological signals | |
CN104590273A (zh) | 一种基于人体反应的安全驾驶系统及方法 | |
Josephin et al. | A review on the measures and techniques adapted for the detection of driver drowsiness | |
CN105193409B (zh) | 一种脑电抑制水平评估方法及系统 | |
TW201115345A (en) | A near-infrared light based brain computer interface with vision driven control device and its method | |
Hu et al. | Variance entropy: a method for characterizing perceptual awareness of visual stimulus | |
Dey et al. | Automatic detection of drowsiness in EEG records based on time analysis | |
Angjelkoska et al. | Self-image in children of divorced parents | |
Vanitha et al. | Real time stress detection system based on EEG signals | |
Kroupi et al. | Non-linear EEG features for odor pleasantness recognition |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CI02 | Correction of invention patent application |
Correction item: Application Date Correct: 2017.01.11 False: 2016.11.30 Number: 23-01 Page: The title page Volume: 34 Correction item: Application Date Correct: 2017.01.11 False: 2016.11.30 Number: 23-01 Volume: 34 |
|
CI02 | Correction of invention patent application | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180605 |
|
RJ01 | Rejection of invention patent application after publication |