Affiliation:
1. School of Computer Science, University of Petroleum and Energy Studies, India
Abstract
Recognition of gestures has gained a lot of popularity in recent years and in the world-wide community as it has played an important role in many of the practical applications. A few of the popular practical applications are reading sign language, authentication of user, assistance provided in day-to-day life. Just to take an example, humans interact with small computers like mobile, wearable smart devices, popularly known as internet of things (IoT), which have a limitation to be embedded with in screens or keyboards. As per statistics, 26% of the population is under the age of 15 whereas some 9% of the population is above the age of 65 where they have problems performing a few activities on a daily basis, and hand gesture recognition can prove to be a good solution.
Reference34 articles.
1. Abu-El-Haija, S., Kothari, N., Lee, J., Natsev, P., Toderici, G., Varadarajan, B., & Vijayanarasimhan, S. (2016). Youtube-8m: A large-scale video classification benchmark. arXiv preprint arXiv:1609.08675.
2. Sequential Deep Learning for Human Action Recognition
3. Learning long-term dependencies with gradient descent is difficult
4. A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
5. Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals
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