Estimation of Driver's Actions by Using Air Mass Flow Sensors on the Seat Belt Imai, Akihiro ; Tokitsu, Naoki ; Oguri, Koji ; Tomita, Seijiro
Publication details: Bryssel ITS in daily life: 16th world congress and exhibition on intelligent transport systems and services, Stockholm 21-25 September 2009. Paper, 2009Description: 7 sSubject(s): Bibl.nr: VTI P1835:16 [World]Location: Abstract: A traffic accident is a disturbing matter caused by a rise of the recent vehicle diffusion rate worldwide. Therefore, estimation of driver's action unrelated driving may contribute to reduce traffic accidents. This paper proposes a novel method to estimation driver's action unrelated driving by measuring signals from air mass flow sensor on the seat belt. In the previous study tried to estimate of driver's action by measuring signals from pressure distribution sensors on the driving seat. However, the previous study is concerned about a large difference of accuracy rate when drivers reseat. Therefore, we focus on the seat belt since there is few change of wearing form by three stationary points. As a result, the accuracy rate when drivers reseat with our proposed method obtained over 90%. Consequently, proposal method is quite effective and useful to estimate driver's action.| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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| Statens väg- och transportforskningsinstitut | Available |
A traffic accident is a disturbing matter caused by a rise of the recent vehicle diffusion rate worldwide. Therefore, estimation of driver's action unrelated driving may contribute to reduce traffic accidents. This paper proposes a novel method to estimation driver's action unrelated driving by measuring signals from air mass flow sensor on the seat belt. In the previous study tried to estimate of driver's action by measuring signals from pressure distribution sensors on the driving seat. However, the previous study is concerned about a large difference of accuracy rate when drivers reseat. Therefore, we focus on the seat belt since there is few change of wearing form by three stationary points. As a result, the accuracy rate when drivers reseat with our proposed method obtained over 90%. Consequently, proposal method is quite effective and useful to estimate driver's action.