KinTrans Hands Can Talk uses AI to learn and process the movements of sign language. 3D sign databases compliment the development of new sign-accessible technology solutions.
...for the Workplace
...for the Marketplace
...for Public Service
KinTrans won a grant for 2018 to support projects like the image above at Texas School for the Deaf. The grant enabled us to hire interns to build part of our ASL 3D dictionaries & conduct a Deaf user experience survey.
Additional global projects partners included use of the application in transportation, retail banking, and in health services.
Today, KinTrans Hands Can Talk is moving into a web platform for greater ability to digitize the movements of global sign languages.
To learn more about our 2019-2020 ASL 3D database project, please visit our Expression of Interest page
Mohamed Elwazer, Founder/CTO
Mohamed Elwazer, from Cairo, Egypt, system architect for KinTrans' human movement & gesture recognition engine. Computer systems engineer focused in machine-learning & image processing coupled with over 10 years of technical & leadership entrepreneurial experience.
We believe human movement is the next data frontier. Like those cognitive services that have come before such as voice, image and object recognition, the time is now for human movement.
We look forward to software being a life partner, connected to us by our movements and gestures, not clicks and commands.
Catherine Bentley, Co-founder/Biz Dev
Catherine Bentley, from Dallas, Texas, manages partnerships, new business & operations for KinTrans Inc. A seasoned business consultant in human resources, strategy and innovation for businesses and governmental entities in the US and Middle East.
Human centered design meets machine-learning:
KinTrans Hands Can Talk application learns full body movements, understanding the same movements across different signers' bodies & style of signing.
The application uses novel predictive techniques to anticipate sign sequences.
The KinTrans movement recording software allows any sign language to be recorded in 3D for analysis.
Developers may customize sign language dictionaries on our platform