Publicação
Automotive gestures recognition based on capacitive sensing
| Resumo: | Driven by technological advancements, vehicles have steadily increased in sophistication, specially in the way drivers and passengers interact with their vehicles. For example, the BMW 7 series driver-controlled systems, contains over 700 functions. Whereas, it makes easier to navigate streets, talk on phone and more, this may lead to visual distraction, since when paying attention to a task not driving related, the brain focus on that activity. That distraction is, according to studies, the third cause of accidents, only surpassed by speeding and drunk driving. Driver distraction is stressed as the main concern by regulators, in particular, National Highway Transportation Safety Agency (NHTSA), which is developing recommended limits for the amount of time a driver needs to spend glancing away from the road to operate in-car features. Diverting attention from driving can be fatal; therefore, automakers have been challenged to design safer and comfortable human-machine interfaces (HMIs) without missing the latest technological achievements. This dissertation aims to mitigate driver distraction by developing a gestural recognition system that allows the user a more comfortable and intuitive experience while driving. The developed system outlines the algorithms to recognize gestures using the capacitive technology. |
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| Autores principais: | Leite, Pedro João Silva |
| Assunto: | Gestures recognition Capacitive sensing Automotive HMI Reconhecimento de gestos Sensorização capacitiva Interfaces homem-máquina |
| Ano: | 2017 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Driven by technological advancements, vehicles have steadily increased in sophistication, specially in the way drivers and passengers interact with their vehicles. For example, the BMW 7 series driver-controlled systems, contains over 700 functions. Whereas, it makes easier to navigate streets, talk on phone and more, this may lead to visual distraction, since when paying attention to a task not driving related, the brain focus on that activity. That distraction is, according to studies, the third cause of accidents, only surpassed by speeding and drunk driving. Driver distraction is stressed as the main concern by regulators, in particular, National Highway Transportation Safety Agency (NHTSA), which is developing recommended limits for the amount of time a driver needs to spend glancing away from the road to operate in-car features. Diverting attention from driving can be fatal; therefore, automakers have been challenged to design safer and comfortable human-machine interfaces (HMIs) without missing the latest technological achievements. This dissertation aims to mitigate driver distraction by developing a gestural recognition system that allows the user a more comfortable and intuitive experience while driving. The developed system outlines the algorithms to recognize gestures using the capacitive technology. |
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