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Can RNN be used for gesture recognition?
In [16], RNN is used to model the temporal information in a sequence of skeleton joint movement to perform gesture recognition. However, since the processing of dynamic gesture recognition is dependent on an ordered sequence of images, a RNN is proposed to supplement the CNN to extract temporal patterns.
How LSTM is better than RNN?
We can say that, when we move from RNN to LSTM, we are introducing more & more controlling knobs, which control the flow and mixing of Inputs as per trained Weights. And thus, bringing in more flexibility in controlling the outputs. So, LSTM gives us the most Control-ability and thus, Better Results.
How do you determine hand gestures?
Recognition of Hand Gestures. When the fingers are detected and recognized, the hand gesture can be recognized using a simple rule classifier. In the rule classifier, the hand gesture is predicted according to the number and content of fingers detected. The content of the fingers means what fingers are detected.
How does gesture control work?
Gesture control technology is based on gesture recognition. Gesture recognition can be seen as a way for computers to begin to understand human body language. Gesture control devices recognize and interpret human body movements, allowing the user to interact with a computer system.
Can a RNN be used for gesture recognition?
Based on my understanding, this seems to boil down to a multi-class classification problem (each set/sequence of hand gestures eventually corresponding to a word/symbol). An RNN/LSTM/GRU architecture is a great place to start, but will be computationally expensive and rather slow to train.
How can I build a gesture recognition system?
I’m trying to build a gesture recognition system for classifying ASL (American Sign Language) Gestures, so my input is supposed to be a sequence of frames either from a camera or a video file then it detects the sequence and maps it to it’s corresponding class (sleep, help, eat, run, etc.)
Can a RNN be used as a GRU?
An RNN/LSTM/GRU architecture is a great place to start, but will be computationally expensive and rather slow to train. However, whether you absolutely need one or more of these depends on how your data is structured, and whether you can get away with treating your images as a set, rather than a sequence.