Design and Real-World Evaluation of Eyes-Free Yoga: An Exergame for Blind and Low-Vision Exercise.

People who are blind or low vision may have a harder time participating in exercise due to inaccessibility or lack of encouragement. To address this, we developed Eyes-Free Yoga using the Microsoft Kinect that acts as a yoga instructor and has personalized auditory feedback based on skeletal tracking. We conducted two different studies on two different versions of Eyes-Free Yoga: (1) a controlled study with 16 people who are blind or low vision to evaluate the feasibility of a proof-of-concept and (2) an 8-week in-home deployment study with 4 people who are blind or low vision, with a fully functioning exergame containing four full workouts and motivational techniques.

Using Computer Vision to Access Appliance Displays.

People who are blind or visually impaired face difficulties accessing a growing array of everyday appliances, needed to perform a variety of daily activities, because they are equipped with electronic displays. We are developing a "Display Reader" smartphone app, which uses computer vision to help a user acquire a usable image of a display, to address this problem. The current prototype analyzes video from the smartphone's camera, providing real-time feedback to guide the user until a satisfactory image is acquired, based on automatic estimates of image blur and glare.

Work-based learning experiences help students with disabilities transition to careers: a case study of University of Washington projects.

This case study describes evidence-based practices employed by a collection of University of Washington projects that engage high school and postsecondary students with disabilities in work-based learning experiences such as industry and research internships, career development activities, job shadows, field trips, and mock interviews. The purpose of the article is two-fold. First, authors share best practices with others who wish to increase the participation of students with disabilities in work-based learning and thereby contribute to their academic and career success.

Enabling web users and developers to script accessibility with Accessmonkey.

Efficient web access remains elusive for blind computer users. Previous efforts to improve web accessibility have focused on developer awareness, automated improvement, and legislation, but these approaches have left remaining concerns. First, while many tools can help produce accessible content, most are difficult to integrate into existing developer workflows and rarely offer specific suggestions that developers can implement.

MobileASL: intelligibility of sign language video over mobile phones.

For Deaf people, access to the mobile telephone network in the United States is currently limited to text messaging, forcing communication in English as opposed to American Sign Language (ASL), the preferred language. Because ASL is a visual language, mobile video phones have the potential to give Deaf people access to real-time mobile communication in their preferred language. However, even today's best video compression techniques can not yield intelligible ASL at limited cell phone network bandwidths.

Group testing for image compression.

This paper presents Group Testing for Wavelets (GTW), a novel embedded-wavelet-based image compression algorithm based on the concept of group testing. We explain how group testing is a generalization of the zerotree coding technique for wavelet-transformed images. We also show that Golomb coding is equivalent to Hwang's group testing algorithm.

Automated classification of protein crystallization images using support vector machines with scale-invariant texture and Gabor features.

Protein crystallography laboratories are performing an increasing number of experiments to obtain crystals of good diffraction quality. Better automation has enabled researchers to prepare and run more experiments in a shorter time. However, the problem of identifying which experiments are successful remains difficult.