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» Interacting with the Computer Using Gaze Gestures
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ENC
2004
IEEE
14 years 12 days ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
CHI
2007
ACM
14 years 9 months ago
A gestural input through finger writing on a textured pad
We describe a new input method that utilizes patterned vibration that is generated through the finger writing on a textured pad. Using a flexible or a foldable textured pad which ...
Ji-Eun Kim, John Sunwoo, Yong-Ki Son, Dong-Woo Lee...
OZCHI
2005
ACM
14 years 2 months ago
Making sense of student use of nonverbal cues for intelligent tutoring systems
Many software systems would significantly improve performance if they could interpret the nonverbal cues in their user’s interactions as humans normally do. Currently, Intellige...
Farhad Dadgostar, Hokyoung Ryu, Abdolhossein Sarra...
CHI
2008
ACM
14 years 9 months ago
Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces
We explore the feasibility of muscle-computer interfaces (muCIs): an interaction methodology that directly senses and decodes human muscular activity rather than relying on physic...
T. Scott Saponas, Desney S. Tan, Dan Morris, Ravin...
EPIA
2005
Springer
14 years 2 months ago
Visual Based Human Motion Analysis: Mapping Gestures Using a Puppet Model
Abstract. This paper presents a novel approach to analyze the appearance of human motions with a simple model i.e. mapping the motions using a virtual marionette model. The approac...
Jörg Rett, Jorge Dias