Camera phone based motion sensing: Interaction techniques, applications and performance study

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Camera phone based motion sensing: Interaction techniques, applications and performance study (2006)

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by Jingtao Wang , Shumin Zhai , John Canny

Venue:	In Proc. UIST ’06 (2006), ACM
Citations:	57 - 2 self

BibTeX

@INPROCEEDINGS{Wang06cameraphone,
    author = {Jingtao Wang and Shumin Zhai and John Canny},
    title = {Camera phone based motion sensing: Interaction techniques, applications and performance study},
    booktitle = {In Proc. UIST ’06 (2006), ACM},
    year = {2006},
    pages = {101--110},
    publisher = {Press}
}

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Abstract

This paper presents TinyMotion, a pure software approach for detecting a mobile phone user’s hand movement in real time by analyzing image sequences captured by the built-in camera. We present the design and implementation of TinyMotion and several interactive applications based on TinyMotion. Through both an informal evaluation and a formal 17-participant user study, we found that 1. TinyMotion can detect camera movement reliably under most background and illumination conditions. 2. Target acquisition tasks based on TinyMotion follow Fitts ’ law and Fitts law parameters can be used for TinyMotion based pointing performance measurement. 3. The users can use Vision Tilt-Text, a TinyMotion enabled input method, to enter sentences faster than MultiTap with a few minutes of practicing. 4. Using camera phone as a handwriting capture device and performing large vocabulary, multilingual real time handwriting recognition on the cell phone are feasible. 5. TinyMotion based gaming is enjoyable and immediately available for the current generation camera phones. We also report user experiences and problems with TinyMotion based interaction as resources for future design and development of mobile interfaces. ACM Classification: H5.2 [Information interfaces and

Keyphrases

camera phone motion sensing performance study interaction technique future design several interactive application acm classification user experience current generation camera phone acquisition task fitts law illumination condition real time mobile phone user hand movement formal 17-participant user study performance measurement information interface cell phone handwriting capture device informal evaluation mobile interface camera movement image sequence built-in camera vision tilt-text fitts law parameter pure software approach input method multilingual real time

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