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This paper presents a method for mapping embodied gesture , acquired with electromyography and motion sensing, to a corpus of small sound units, organised by derived timbral features using concatenative synthesis. Gestures and sounds can be associated directly using individual units and static poses, or by using a sound tracing method that leverage...
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... noisy, and we do not include them in our feature vector. Instead, we use a Bayesian [8] filter to probabilistically predict the amplitude envelope for each electrode in the armband. The sum of all eight amplitude envelopes is also included in the input feature vector, along with a new feature we have developed called "vector sum." Vector sum (Fig. 3) is a representation of the fact that the forearm muscles are situated around the arm in such a way that they can oppose or reinforce the action of other muscles. To calculate the vector sum, we model each electrode as representing a vector pointing away from the centre of a circle, evenly spaced every 45 degrees. The direction for each ...
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The hand gesture is a form of human expression in communication through hand movements. Hand gesture provides an alternative way for interaction between humans and machines, in this case, a mobile robot. This study discusses the application of static hand gestures to mobile robot motion, the hand used is the right hand. The static hand gesture used...
Citations
The application of Artifcial Intelligence (AI) across a wide range of domains comes with both high expectations of its benefts and dire predictions of misuse. While AI systems have largely been driven by a technology-centered design approach, the potential societal conse- quences of AI have mobilized both HCI and AI researchers towards researching human-centered artifcial intelligence (HCAI). How- ever, there remains considerable ambiguity about what it means to frame, design and evaluate HCAI. This paper presents a critical review of the large corpus of peer-reviewed literature emerging on HCAI in order to characterize what the community is defning as HCAI. Our review contributes an overview and map of HCAI research based on work that explicitly mentions the terms ‘human- centered artifcial intelligence’ or ‘human-centered machine learn- ing’ or their variations, and suggests future challenges and research directions. The map reveals the breadth of research happening in HCAI, established clusters and the emerging areas of Interaction with AI and Ethical AI. The paper contributes a new defnition of HCAI, and calls for greater collaboration between AI and HCI research, and new HCAI constructs.
