Searched for: subject:"Gesture%5C+Recognition"
(1 - 4 of 4)
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Bos, S. (author)
This thesis describes how multimodal sensor data from a 3D sensor and microphone array can be processed with deep neural networks such that its fusion, the trained neural network, is a) more robust to noise, b) outperforms unimodal recognition and c) enhances unimodal recognition in absence of multimodal data. We built a framework for a complete...
master thesis 2017
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Gonzalez Godinez, L.A. (author)
Wearable devices have paved way for several context-aware applications in the field of health-care and sports to improve the well-being of users and their performance for human augmentation. During rehabilitation patients need accurate feedback that can empower and improve the speed of recovery. On the other hand competitive athletes need a...
master thesis 2016
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Ferouge, A.A. (author)
The way people meet each other is usually face to face. Meanwhile, the way people maintain their contacts is mostly through social media. This results in a gap of translating a handshake into a digital connection. Shake-On is a start-up that has come up with an answer by means of a smart bracelet. Their aim is to wirelessly exchange contact...
master thesis 2015
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Yadhunathan, S. (author)
There has been a vast improvement in Human-Computer Interaction over the last decade. Yet there are only a very few systems with natural interfaces such as with speech and gestures. This thesis here addresses the topic of gesture recognition using a 2D camera and how they can be used as natural interfaces to control applications. The gesture...
master thesis 2011
Searched for: subject:"Gesture%5C+Recognition"
(1 - 4 of 4)