We build upon a constrained, lab-based Sign Language recognition system with the goal of making it a mobile assistive technology. We examine using multiple sensors for disambiguation of noisy data to improve recognition accuracy. Our experiment compares the results of training a small gesture vocabulary using noisy vision data, accelerometer data and both data sets combined.
Citation:
Helene Brashear, Thad Starner, Paul Lukowicz, Holger Junker, "Using Multiple Sensors for Mobile Sign Language Recognition," iswc, pp.45, Seventh IEEE International Symposium on Wearable Computers (ISWC'03), 2003