Facial Micro-Expression Detection under Variable Road Condition for Evaluation of Driver’s Performance / (Record no. 609035)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01833nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Shaikh, Aleema Moin |
| 245 ## - TITLE STATEMENT | |
| Title | Facial Micro-Expression Detection under Variable Road Condition for Evaluation of Driver’s Performance / |
| Statement of responsibility, etc. | Aleema Moin Shaikh |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 52p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | The emotional state of the driver has a direct impact on driving. Hence, to ensure road<br/>safety, it is important to monitor driver’s emotional state. This challenging task can be<br/>achieved through analyzing micro-expressions as they are linked with a person’s<br/>emotional state and emerge on face even under situations where a person is trying to<br/>conceal true emotions. Moreover, it’s easy to acquire facial data while driving than any<br/>other stress signal. This research focuses on identifying micro-expressions linked with<br/>stressful emotional state in drivers. The physiological parameters like heart rate and stress<br/>value based on heart rate variability are also monitored as they fluctuate easily under<br/>emotional changes within the body. This research considered the emotions of happiness,<br/>sadness, surprise, anger, fear and disgust. To evaluate stress within drivers, the dominant<br/>emotion behind detected micro-expression is found through an emotion detection open<br/>source code. The results show a high F1 score for the identified micro-expressions i.e. 1.00,<br/>0.947, 0.933 and 0.85. These findings can help in face readings where stress detection is<br/>required and can contribute towards better systems in cars to ensure road safety and manage<br/>stress. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Biomedical Sciences (BMS) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Omer Gilani |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/30572">http://10.250.8.41:8080/xmlui/handle/123456789/30572</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 05/09/2024 | 610 | SMME-TH-752 | Thesis |