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Egocentric Gesture Recognition for Head Mounted AR devices

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Academic year: 2020

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Figure

Figure 1: Network Architecture to recognise egocentric gestures: Ego-hand maskencoder (EHME) that encodes a sequence of input images and Recurrent Neural Network(RNN) to recognise the gesture from sequence of encoded images.
Table 1: Table comparing the number of backgrounds needed for existing ego-handgesture databases with ours
Figure 2: Data Collection Process:: Step 1: User performs gestures in front of a green screen wearing HoloLens
Table 3: Parameters used in various phases of training.
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