Finger Character Recognition System and Application to Singed Language
Masafumi Uchida, Kiyoshi Ishikawa, Hideto Ide · IEEJ Transactions on Electronics Information and Systems · 1994
We can communicate with a visually impaired person through spoken language. However, it is extremely difficult for an aurally or verbally impaired person who understands by sign language, finger characters, or similar means to communicate with someone who does not understand such means. Conversion with writing is highly effective for communication, but it has a problem with speed.With this background, the authors manufactured a communication support system that uses aa computer to pronounce submitted finger characters in real-time mode with a data glove and a magnetic sensor to measure the position and orientation.In addition, fuzzy reasoning was introduced to cope with variations in the measured value using the fuzziness of the membership function. The recognition rate at the cluster level indicated a value of 90% or higher. As a result of using this determined hand form to recognize a finger character based on Enter angle data, a recognition rate of 90% or higher could always be obtained for the same subject, indicating valid application of fuzzy reasoning.