Journal
IEEE SENSORS LETTERS
Volume 2, Issue 3, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSENS.2018.2864963
Keywords
Sensor applications; continuous hand gesture recognition; human machine interface; long short-term memory (LSTM)
Ask authors/readers for more resources
This article aims to present a novel sensor-based continuous hand gesture recognition algorithm by long shortterm memory (LSTM). Only the basic accelerators and/or gyroscopes are required by the algorithm. Given a sequence of input sensory data, a many-to-many LSTM scheme is adopted to produce an output path. A maximum a posteriori estimation is then carried out based on the observed path to obtain the final classification results. A prototype system based on smartphones has been implemented for the performance evaluation. Experimental results show that the proposed algorithm is an effective alternative for robust and accurate hand-gesture recognition.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available