IEEE Transactions on Pattern Analysis and Machine Intelligence
Sum Versus Vote Fusion in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wearable Computing Meets Ubiquitous Computing: Reaping the Best of Both Worlds
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Toward subtle intimate interfaces for mobile devices using an EMG controller
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GI '07 Proceedings of Graphics Interface 2007
A systematic analysis of performance measures for classification tasks
Information Processing and Management: an International Journal
Vision-based hand-gesture applications
Communications of the ACM
Gestural interaction on the steering wheel: reducing the visual demand
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ARAMIS: toward a hybrid approach for human- environment interaction
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part I
Humans and smart environments: a novel multimodal interaction approach
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Driver-vehicle confluence or how to control your car in future?
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Muscle computer interfaces for driver distraction reduction
Computer Methods and Programs in Biomedicine
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In this paper, we present a novel opportunistic paradigm for in-vehicle gesture recognition. This paradigm allows using two or more subsystems in a synergistic manner: they can work in parallel but the lack of some of them does not compromise the functioning of the whole system. In order to segment and recognize micro-gestures performed by the user on the steering wheel, we combine a wearable approach based on the electromyography of the user's forearm muscles, with an environmental approach based on pressure sensors integrated directly on the steering wheel. We present and analyze several fusion methods and gesture segmentation strategies. A prototype has been developed and evaluated with data from nine subjects. The results prove that the proposed opportunistic system performs equal or better than each stand-alone subsystem while increasing the interaction possibilities.