Work place: School of Engineering Science, Simon Fraser University, Burnaby, Canada
E-mail: jab30@sfu.ca
Website:
Research Interests: Medical Image Computing, Image Processing, Image Manipulation, Image Compression, Computational Learning Theory
Biography
John Buonassisi is a undergraduate student at Simon Fraser University, Canada in his 5th year of Systems Engineering. Recently, John has completed an internship at the Robotic Vision Laboratory at Simon Fraser University and is currently finishing his undergraduate degree. John's research interests include machine learning, biomedical image processing, data compression, and object recognition.
By Amarjot Singh John Buonassisi Sukriti Jain
DOI: https://doi.org/10.5815/ijigsp.2014.02.05, Pub. Date: 8 Jan. 2014
The paper presents an intelligent multi gesture spotting system that can be used by disabled people to easily communicate with machines resulting into easement in day-to-day works. The system makes use of pose estimation for 10 signs used by hearing impaired people to communicate. Pose is extracted on the basis of silhouettes using timed motion history (tMHI) followed by gesture recognition with Hu-Moments. Signs involving motion are recognized with the help of optical flow. Based on the recognized gestures, particular instructions are sent to the robot connected to system resulting into an appropriate action/movement by the robot. The system is unique as it can act as a assisting device and can communicate in local as well as wide area to assist the disabled person.
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