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Air-writing 인식을 위한 RNN 기법들의 성능 비교Performance Comparison of RNN Methods for Air-writing Recognition
- Other Titles
- Performance Comparison of RNN Methods for Air-writing Recognition
- Authors
- Park, S; Shin, S; KIM, WHOI YUL
- Issue Date
- Nov-2018
- Publisher
- 대한전자공학회
- Citation
- 2018 대한전자공학회 추계학술대회, pp.809 - 812
- Indexed
- OTHER
- Journal Title
- 2018 대한전자공학회 추계학술대회
- Start Page
- 809
- End Page
- 812
- Abstract
- In our work, we use our dataset which is extracted feature from three-dimensional coordinates of the hand and three types of Recurrent Neural Network(RNN). By using our dataset and RNN, we showed that not only which type of RNN is better when using Air-writing recognition but also our method is better than existing Air-writing recognition performance.
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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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