Multi-Touch technology provides a successful gesture based Human Computer Interface. The contact and gesture recognition algorithms of this interface are based on full hand function and, therefore, are not accessible to many people with physical disability. In this paper, we design a set of command-like gestures for users with limited range and function in their digits and wrist. Trajectory and angle features are extracted from these gestures and passed to a recurrent neural network for recognition. Experiments are performed to test the feasibility of gesture recognition system and determine
The New York Hall of Science will develop "Connections," a 3,500-sq. ft. interactive exhibition and related learning resources that will introduce visitors to the fundamental technology of networks. "Connections" will offer diverse audiences opportunities to explore networks, both natural and human-designed. The exhibition will highlight the fundamental characteristics of networks such as their structure, function and adaptability. The project will also produce supporting educational resources for families, after-school programs, community groups, students and teachers. Audio-tours will be produced for general visitors and for visitors with visual impairments. The Connections Discovery Lab, a 750-sq. ft. enclosed space adjacent to the exhibition, will offer scheduled workshops and drop-in programs.