Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research
With the growing popularity of Autonomous Vehicles, more opportunities have bloomed in the context of Human-Vehicle Interactions. However, the lack of comprehensive and concrete database support for such specific use case limits relevant studies in the whole design spaces. In this paper, we present...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Unpublished
2020
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/60664/ |
| _version_ | 1848799791600893952 |
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| author | Peng, Xiangjun Huang, Zhentao Sun, Xu |
| author_facet | Peng, Xiangjun Huang, Zhentao Sun, Xu |
| author_sort | Peng, Xiangjun |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | With the growing popularity of Autonomous Vehicles, more opportunities have bloomed in the context of Human-Vehicle Interactions. However, the lack of comprehensive and concrete database support for such specific use case limits relevant studies in the whole design spaces. In this paper, we present our work-in-progress BROOK, a public multi-modal database with facial video records, which could be used to characterise drivers' affective states and driving styles. We first explain how we over-engineer such database in details, and what we have gained through a ten-month study. Then we showcase a Neural Network-based predictor, leveraging BROOK, which supports multi-modal prediction (including physiological data of heart rate and skin conductance and driving status data of speed) through facial videos. Finally we discuss related issues when building such a database and our future directions in the context of BROOK. We believe BROOK is an essential building block for future Human-Vehicle Interaction Research. More details and updates about the project BROOK is online at https: //unnc-idl-ucc.github.io/BROOK/. |
| first_indexed | 2025-11-14T20:41:17Z |
| format | Conference or Workshop Item |
| id | nottingham-60664 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:41:17Z |
| publishDate | 2020 |
| publisher | Unpublished |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-606642020-05-21T07:02:01Z https://eprints.nottingham.ac.uk/60664/ Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research Peng, Xiangjun Huang, Zhentao Sun, Xu With the growing popularity of Autonomous Vehicles, more opportunities have bloomed in the context of Human-Vehicle Interactions. However, the lack of comprehensive and concrete database support for such specific use case limits relevant studies in the whole design spaces. In this paper, we present our work-in-progress BROOK, a public multi-modal database with facial video records, which could be used to characterise drivers' affective states and driving styles. We first explain how we over-engineer such database in details, and what we have gained through a ten-month study. Then we showcase a Neural Network-based predictor, leveraging BROOK, which supports multi-modal prediction (including physiological data of heart rate and skin conductance and driving status data of speed) through facial videos. Finally we discuss related issues when building such a database and our future directions in the context of BROOK. We believe BROOK is an essential building block for future Human-Vehicle Interaction Research. More details and updates about the project BROOK is online at https: //unnc-idl-ucc.github.io/BROOK/. Unpublished 2020-01-01 Conference or Workshop Item PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/60664/1/Building%20BROOK%20A%20Multi-modal%20and%20Facial%20Video%20Database%20for%20Human-Vehicle%20Interaction%20Research.pdf Peng, Xiangjun, Huang, Zhentao and Sun, Xu (2020) Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research. In: ACM CHI Conference on Human Factors in Computing Systems, 25-30 April 2020, Honolulu, HI, USA. (Unpublished) Human-VehicleInteractions; ComputerVision; Ergonomics |
| spellingShingle | Human-VehicleInteractions; ComputerVision; Ergonomics Peng, Xiangjun Huang, Zhentao Sun, Xu Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research |
| title | Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research |
| title_full | Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research |
| title_fullStr | Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research |
| title_full_unstemmed | Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research |
| title_short | Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research |
| title_sort | building brook: a multi-modal and facial video database for human-vehicle interaction research |
| topic | Human-VehicleInteractions; ComputerVision; Ergonomics |
| url | https://eprints.nottingham.ac.uk/60664/ |