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In order to interpret images of faces (e.g., for recognition), it is important to have a model of the different ways that a face may appear. Though faces vary widely, changes can be broken down into two categories—changes in shape and changes in the texture (patterns of pixel values) across the face—that are largely due to differences between individuals, but also due to changes in expression, viewpoint...
There has been a shift in rehabilitation medicine from conventional evaluation procedures towards more quantitative approaches. However, up to now, a quantitative evaluation procedure for upper limb prostheses that is applicable outside of the laboratory or clinical environment has not been established. The requirement for such a procedure arises from the findings of a number of recent studies suggesting...
This paper presents a novel fully automatic bi-modal, face and speaker, recognition system which runs in real-time on a mobile phone. The implemented system runs in real-time on a Nokia N900 and demonstrates the feasibility of performing both automatic face and speaker recognition on a mobile phone. We evaluate this recognition system on a novel publicly-available mobile phone database and provide...
This work investigates arm acceleration as a control signal for Functional Electrical Stimulation (FES) of the upper limb during reaching and grasping. We segment the reach and grasp motion into phases and present an Artificial Neural Network (ANN) approach that estimates the phase of the reaching cycle from accelerometer signals. We then select the stimulator command that maximizes successful triggering...
This work investigates arm acceleration as a control signal for functional electrical stimulation (FES) of the upper limb during reaching and grasping. We segment the reach and grasp motion into phases and present an artificial neural network (ANN) approach that estimates the phase of the reaching cycle from accelerometer signals. We then select the stimulator command that maximizes successful triggering...
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