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Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech to communicate. Nowadays, with the increasing use of technology, hand-gesture recognition is considered to be an important aspect of Human-Machine Interaction (HMI), allowing the machine to capture and interpret the user's intent and respond accordingly.
Hand-gesture recognition is an important task in medical settings such as prosthetic control, which can be performed using EMG biomedical signals, hand-gesture images, or a combination of both
Self-driving cars have drawn a lot of attention in recent years, and with help of machine learning, have advanced rapidly. Self-driving cars will have to consistently carryout all driving functions without human assistance. Traffic Hand-gesture Recognition requires fast execution speed.
The goal of my research is to optimize and accelerate in hardware the Japanese Traffic Hand-gesture Command Recognition.
Or
The goal of my research is to accelerate in hardware Hand-gesture Recognition using Images [[Hand Gesture Datasets]]
| Date | Task |
| ☑️June 1 - June 31, 2020 | Read papers, Make an environment to execute programs |
| ☑️July 1 - July 31, 2020 | Learn about FPGA acceleration, Make the dataset from the site |
| August 1 - September 15, 2020 | Make the Hand-gesture recognition system using DNN |
| September 15 - October 15, 2020 | Design DNN on FPGA |
| October 1 - October 23, 2020 | Write Mid-term poster |
| October 1 - October 31, 2020 | Evaluate the performance of FPGA operation |
| November 1 - November 31, 2020 | Write paper |
RPS: 
RPS1-0629.pdf ,RPS2-0805.pdf
Submission deadline 10/?/2020
