Thiago Valle

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This work proposes the use of a low-cost software based breathing interface for mobile phones as an alternative interaction technology for people with motor disabilities. It attempts to explore the processing of the audio from the microphone in mobile phones to trigger and launch software events. A proof of concept of this work is demonstrated by the(More)
Great part of human communication is carried out non-verbally. All this information is lost in mobile text messaging. This work describes an attempt to augment text chatting in mobile phones by adding automatically detected facial expression reactions, to conversations. These expressions are detected using known image processing techniques. Known related(More)
This work proposes the use of a low-cost software based puff controlled spin keyboard for mobile phones as an alternative interaction technology for people with motor disabilities. It attempts to explore the processing of the audio from the microphone in mobile phones to select characters from a spinning keyboard. A proof of concept of this work is(More)
This work proposes progresses on the use of a breathing based text input software for mobile as an alternative interaction technology for people with motor disabilities. It attempts to explore the processing of the audio from the microphone in mobile phones to select characters from dynamically generated keyboard. A proof of concept of this work is(More)
The evaluation of usability in mobile software provides valuable measures about the quality of these applications, which assists designers and developers in identifying opportunities of improvement. But analyzing the usability of mobile user interfaces can be a tiresome assignment. It might be extensive and require expert evaluation techniques such as(More)
Human communication is greatly carried out non-verbally. All this information is lost in mobile text messaging. This work describes an attempt to augment text chatting in mobile phones by adding automatically detected facial expression reactions and reading status, to conversations. These expressions are detected using known image processing techniques.(More)
This work proposes the use of a low-cost software-based puff controlled hands-free spinning keyboard for mobile phones as an alternative interaction technology for people with motor disabilities. It attempts to explore the processing of the audio from the microphone in mobile phones to select characters from a spinning keyboard. A proof of concept of this(More)
Jackson Feijó Filho Nokia Technology Institute Av. Torquato Tapajós, 7200 Col. Terra Nova. Manaus-AM Brasil 69093-415 +55 92 8134 0134 jackson.feijo@indt.org.br Thiago Valle Nokia Technology Institute Av. Torquato Tapajós, 7200 Col. Terra Nova. Manaus-AM Brasil 69093-415 +55 92 8109 0999 thiago.valle@indt.org.br Wilson Prata PUC RJ Av. Torquato Tapajós,(More)