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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)
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)
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)
Usability tests for mobile phones software present several consistent obstacles. The issue of observing users' interaction within a controlled and supervised environment versus unsupervised field tests is a significant one. Additionally, the burden of frequently time-consuming and expensive usability tests for small software development teams are evident.(More)
In everyday social interactions, humans depend on visual cues to fully communicate, and in an online text chatting scenario, the lack of sight interferes with the quality of such interactions. Since crucial nonverbal communication is comprised of facial gestures and expressions, text chat users are at a disadvantage when engaging in interpersonal(More)
Great part of human communication is carried out nonverbally. 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, such as a smile, to conversations. These expressions are detected using known image processing techniques.(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)