Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles
Abstract The takeover issue, especially the setting of the takeover time budget, is a critical factor restricting the implementation and development of conditionally automated vehicles. The general fixed takeover time budget has certain limitations, as it does not take into account the driver’s non-...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-56169-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832571545895043072 |
|---|---|
| author | Xiao Lu Haiqiu Tan Haodong Zhang Wuhong Wang Shaorong Xie Tao Yue Facheng Chen |
| author_facet | Xiao Lu Haiqiu Tan Haodong Zhang Wuhong Wang Shaorong Xie Tao Yue Facheng Chen |
| author_sort | Xiao Lu |
| collection | DOAJ |
| description | Abstract The takeover issue, especially the setting of the takeover time budget, is a critical factor restricting the implementation and development of conditionally automated vehicles. The general fixed takeover time budget has certain limitations, as it does not take into account the driver’s non-driving behaviors. Here, we propose an intelligent takeover assistance system consisting of all-round sensing gloves, a non-driving behavior identification module, and a takeover time budget determination module. All-round sensing gloves based on triboelectric sensors seamlessly detect delicate motions of hands and interactions between hands and other objects, and then transfer the electrical signals to the non-driving behavior identification module, which achieves an accuracy of 94.72% for six non-driving behaviors. Finally, combining the identification result and its corresponding minimum takeover time budget obtained through the takeover time budget determination module, our system dynamically adjusts the takeover time budget based on the driver’s current non-driving behavior, significantly improving takeover performance in terms of safety and stability. Our work presents a potential value in the application and implementation of conditionally automated vehicles. |
| format | Article |
| id | doaj-art-cd1f0cbce8b84580b2e8696f8f4e8af6 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-cd1f0cbce8b84580b2e8696f8f4e8af62025-02-02T12:32:38ZengNature PortfolioNature Communications2041-17232025-01-0116111310.1038/s41467-025-56169-2Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehiclesXiao Lu0Haiqiu Tan1Haodong Zhang2Wuhong Wang3Shaorong Xie4Tao Yue5Facheng Chen6School of Computer Engineering and Science, Shanghai UniversitySchool of Mechanical Engineering, Beijing Institute of TechnologySchool of Vehicle and Mobility, Tsinghua UniversitySchool of Mechanical Engineering, Beijing Institute of TechnologySchool of Computer Engineering and Science, Shanghai UniversityShanghai Institute of Intelligent Science and Technology, Tongji UniversityDepartment of Traffic Management School, People’s Public Security University of ChinaAbstract The takeover issue, especially the setting of the takeover time budget, is a critical factor restricting the implementation and development of conditionally automated vehicles. The general fixed takeover time budget has certain limitations, as it does not take into account the driver’s non-driving behaviors. Here, we propose an intelligent takeover assistance system consisting of all-round sensing gloves, a non-driving behavior identification module, and a takeover time budget determination module. All-round sensing gloves based on triboelectric sensors seamlessly detect delicate motions of hands and interactions between hands and other objects, and then transfer the electrical signals to the non-driving behavior identification module, which achieves an accuracy of 94.72% for six non-driving behaviors. Finally, combining the identification result and its corresponding minimum takeover time budget obtained through the takeover time budget determination module, our system dynamically adjusts the takeover time budget based on the driver’s current non-driving behavior, significantly improving takeover performance in terms of safety and stability. Our work presents a potential value in the application and implementation of conditionally automated vehicles.https://doi.org/10.1038/s41467-025-56169-2 |
| spellingShingle | Xiao Lu Haiqiu Tan Haodong Zhang Wuhong Wang Shaorong Xie Tao Yue Facheng Chen Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles Nature Communications |
| title | Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles |
| title_full | Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles |
| title_fullStr | Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles |
| title_full_unstemmed | Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles |
| title_short | Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles |
| title_sort | triboelectric sensor gloves for real time behavior identification and takeover time adjustment in conditionally automated vehicles |
| url | https://doi.org/10.1038/s41467-025-56169-2 |
| work_keys_str_mv | AT xiaolu triboelectricsensorglovesforrealtimebehavioridentificationandtakeovertimeadjustmentinconditionallyautomatedvehicles AT haiqiutan triboelectricsensorglovesforrealtimebehavioridentificationandtakeovertimeadjustmentinconditionallyautomatedvehicles AT haodongzhang triboelectricsensorglovesforrealtimebehavioridentificationandtakeovertimeadjustmentinconditionallyautomatedvehicles AT wuhongwang triboelectricsensorglovesforrealtimebehavioridentificationandtakeovertimeadjustmentinconditionallyautomatedvehicles AT shaorongxie triboelectricsensorglovesforrealtimebehavioridentificationandtakeovertimeadjustmentinconditionallyautomatedvehicles AT taoyue triboelectricsensorglovesforrealtimebehavioridentificationandtakeovertimeadjustmentinconditionallyautomatedvehicles AT fachengchen triboelectricsensorglovesforrealtimebehavioridentificationandtakeovertimeadjustmentinconditionallyautomatedvehicles |