The scientific and medical community is becoming more and more interested in the so-called Rehabilitation Robotics. Rehabilitation Robotics has been envisioned as technology for the restoration and functional compensation of people suffering from physical disability or disorders, either for the rehabilitation therapy or assistance of people.

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Rehabilitation Robotics has been defined as the combination of industrial robotics and medical rehabilitation, thus encompassing many areas, including mechanical and electrical engineering, biomedical engineering, artificial intelligence and sensor and actuator technology. Medical rehabilitation often refers to the process by which human function, be it physical or cognitive, is restored at least partially to their “normal” condition.

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This book started with an introduction to Rehabilitation Robotics and, in particular, of Rehabilitation Wearable Robots of which Exoskeletons are very interesting examples. A historical note that dated back to the late 1960’s the first work on Rehabilitation Robotics was given in Chapter 1. Even though this represents already more than 40 years of work in the area, when looking to publications and scientific contributions in the field, one might say that it is still in its infancy.

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A great deal of effort has been devoted in the past decades in the generic area of tremor management. Specific topics of modelling for objective classification of pathological tremor out of kinematics and physiological data, compensatory technologies and evaluation rating tools are just a few examples of application field. This chapter introduces a comprehensive review of research work in this generic field during the last decades. In particular special focus has been put on the systems approach and thus a specific section on modelling has been included. Aspects related to experimental protocol and tremor pattern identification are reviewed in detail with the aim of drawing a practical guideline when compensatory technology has to be developed. The current status on ambulatory and non-ambulatory tremor reduction technologies is given in the section devoted to tremor management. At the end, we finish our discussion with those aspects related to tremor evaluation.

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We describe our planned research in using affective feedback from body movement and posture to recognize affective states of users. Bodily expression of af-fect has received far less attention in research than facial expression. The aim of our research is to fur-ther investigate how affective states are communicated through bodily expression and to develop an evalu-ation method for assessing affective states of video gamers based on this knowledge. Current motion cap-ture systems are often intrusive to the user and restricted to lab environments, which results in biasing user experience. We propose a nonintrusive recognition system for bodily expression of affect in a video game context, which can be deployed in the wild.

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