IEEE Consumer Electronics Magazine - May 2018 - 20

15 m when the marker size is 400 cm 2. The proposed visual
marker is an improvement compared to GPS, which is
unable to locate obstacles indoors. After the system detects a
marker, the visually impaired user can obtain various information, such as current location, through audio and tactile
feedback generated from a mobile phone. In addition, the
obstacle detection function can help people with visual
impairment walk freely in unconstrained indoor environments. Most obstacles have a 70% detection rate. Therefore,
the proposed system can help people who are visually
impaired arrive at their destinations safely without full assistance from others.

abouT THE auTHorS
Chih-Wei Lee (addisonbob822@gmail.com) earned his M.S.
degree in electronic and computer engineering at the National
Taiwan University of Science and Technology. His research
interests include embedded system/software, wearable computers, and image processing.
Peter Chondro (peterchondro.ee@gmail.com) is an
associate engineer at Industrial Technology Research Institute Taiwan and a Ph.D. candidate in electronic and computer engineering at National Taiwan University of Science
and Technology. His research interests include multimedia
signal processing, radiography imaging, efficient display,
and automation.
Shanq-Jang Ruan (sjruan@mail.ntust.edu.tw) is a distinguished professor in the Department of Electronic and Computer Engineering at National Taiwan University of Science
and Technology (NTUST) and chair of the Graduate Institute
of Applied Science and Technology at NTUST. His research
interests include power-efficient circuits and systems, image
processing, and electronic design automation.
Oliver Christen (oliver.christen@hs-niederrhein.de) is
with the Institute for Pattern Recognition at the Niederrhein
University of Applied Sciences, Krefeld, Germany. His
research interests include machine learning, image processing, and augmented and virtual reality.
Edwin Naroska (edwin.naroska@hs-niederrhein.de) is a
professor at the University for Applied Sciences Niederrhein,
Krefeld, Germany. His research interests include power-efficient embedded hardware and software design and ambient
assistant technologies.

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