The human factors of computer graphics interaction techniques
IEEE Computer Graphics and Applications
The design space of input devices
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Applying electric field sensing to human-computer interfaces
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
HoloWall: designing a finger, hand, body, and object sensitive wall
Proceedings of the 10th annual ACM symposium on User interface software and technology
Tracking Multiple Talkers Using Microphone-Array Measurements
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
Lexical and pragmatic considerations of input structures
ACM SIGGRAPH Computer Graphics
Thracker - Using Capacitive Sensing for Gesture Recognition
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
The design of natural interaction
Multimedia Tools and Applications
Using the human body field as a medium for natural interaction
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Capacitive sensor-based hand gesture recognition in ambient intelligence scenarios
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
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The recent success of Nintendo's Wii and multi-touch input devices like the Apple iPhone clearly shows that people are more willing to accept new input device-technologies based on intuitive forms of interaction. Gesture-based input is thus becoming important and even relevant in specific application scenarios. A sensor type especially suited for natural gesture recognition is the capacitive proximity sensor that allows the detection of objects without any physical contact. In this paper we extend the input device taxonomy by Card et al to include this detector category and allow modeling of devices based on advanced sensor units that involve data processing. We have created a prototype based on this modeling and evaluated its use regarding several application scenarios, where such a device might be useful. The focus of this evaluation was to determine the suitability of the device for different interaction paradigms.