#13 Multimodal Detection of Driver Distraction
- Principal Investigator
- Maxine Eskenazi
- Status
- Completed
- Start Date
- Jan. 1, 2017
- End Date
- Aug. 31, 2018
- Project Type
- Research Advanced
- Grant Program
- MAP-21 TSET National (2013 - 2018)
- Grant Cycle
- 2016 TSET UTC
- Visibility
- Public
Abstract
Vehicles have an increasing number of safety devices that have dramatically driven down the number of accidents. Yet it is disturbing that a recent rise in accidents has been noted. Driver distraction is causing more accidents despite legislation in many states to prevent the use of distractions (the cellphone). Since legislation has not stopped drivers from using their cellphones to talk or to text, we propose that drivers continuing to use their phones should be warned when that use is creating a dangerous situation. This project concerns the development of automatic detection of driver distraction from speech and video. Eventually installed in a vehicle or in an app, the detector would either emit an alarm or shut an app down when distraction is detected so that the driver can attend to the road. The project uses both speech (the driver’s hesitations, choice of words, and other changes in normal speaking habits) and vision (the driver’s head turning, looking down, to the left or to the right) as input information. The detectors will be trained on data gathered using a driving simulator and tasks that promote subject distraction. Not only will this project deliver automatic distraction detection algorithms, but it will also make its two driving databases available publicly so that others can use it as well to research distraction.
Description
Timeline
Strategic Description / RD&T
Deployment Plan
Expected Outcomes/Impacts
Expected Outputs
TRID
Individuals Involved
| Name | Affiliation | Role | Position | |
|---|---|---|---|---|
| cahuja@andrew.cmu.edu | Ahuji, Chaitanya | LTI | Other | Student - PhD |
| max@cs.cmu.edu | Eskenazi, Maxine | LTI/SCS | PI | Other |
| morency@cs.cmu.edu | Morency, Louis-Philippe | LTI/SCS | Co-PI | Other |
| sprabhum@andrew.cmu.edu | Prabhumoye, Shrimi | LTI/MLT | Other | Student - Masters |
Budget
Amount of UTC Funds Awarded
$85000.00Total Project Budget (from all funding sources)
$85000.00Documents
| Type | Name | Uploaded |
|---|---|---|
| Publication | A Multimodal Distraction Detection Dataset | April 19, 2017, 9:06 a.m. |
| Publication | A Multimodal Distraction Detection Dataset | April 19, 2017, 9:06 a.m. |
| Progress Report | 13_Progress_Report_2016-12-31 | Oct. 5, 2017, 10:02 a.m. |
| Final Report | UTC_project_13_Multimodal_Detection_of_Driver_Distraction_-_final_report.pdf | July 2, 2018, 4:32 a.m. |
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