A framework for recognizing the simultaneous aspects of American sign language
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Usability Engineering
A Real-Time Continuous Gesture Recognition System for Sign Language
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
SixthSense: a wearable gestural interface
ACM SIGGRAPH ASIA 2009 Art Gallery & Emerging Technologies: Adaptation
Imaginary interfaces: spatial interaction with empty hands and without visual feedback
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
DoubleFlip: a motion gesture delimiter for mobile interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Brave NUI World: Designing Natural User Interfaces for Touch and Gesture
Brave NUI World: Designing Natural User Interfaces for Touch and Gesture
Touch versus in-air hand gestures: evaluating the acceptance by seniors of human-robot interaction
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
A zigbee-based home automation system
IEEE Transactions on Consumer Electronics
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The home is an environment filled with an increasing number of fixtures and appliances, from doors and windows to kettles and chargers. Devices for in-air gestural recognition are also increasing in commercial availability. Appropriate attributes that make up natural in-air gestures have yet to be uniformly established, especially in relation to their use in the comfort of the home environment. Three studies were conducted, each informing the focus and construction of a gesture-recognition prototype for the following study. The preferred attributes of in-air gestures were examined; their use in conjunction with other modalities, the motion of in-air gestures, and feedback delay and transition time of an action as instigated by an in-air gesture. Our findings indicate natural actions that precede in-air gestures, topographical correlations between gesture and system response, and a desire for minimal effort. These results can be used as guidelines for the design of in-air gestures and systems for their recognition in environments within and beyond the home.