Chapter 6. Measuring the formal diversity of hand gestures by their hamming distance
Katharina Hogrefe | Clinical Neuropsychology Research Group (EKN), Neuropsychological Department, Hospital Bogenhausen, Municipal Clinic München GmbH
Wolfram Ziegler | Clinical Neuropsychology Research Group (EKN), Neuropsychological Department, Hospital Bogenhausen, Municipal Clinic München GmbH
Georg Goldenberg | Clinical Neuropsychology Research Group (EKN), Neuropsychological Department, Hospital Bogenhausen, Municipal Clinic München GmbH
Based on the assumption that the formal diversity of gestures indicates their potential information content, we developed a method that focuses on the analysis of physiological and kinetic aspects of hand gestures. A form-based transcription with the Hamburg Notation System for Sign Languages (HamNoSys, Prillwitz et al. 1989) constitutes the basis for the calculation of a measure of the formal diversity of hand gestures. We validated our method in a study with healthy persons, who retold the same short video clips first verbally and then without speaking. The silent condition was expected to elicit higher formal diversity of hand gestures since they have to transmit information without support from language (Goldin-Meadow et al. 1996). Results were in line with our expectations. We conclude that the determination of the formal diversity of hand gestures is an adequate method for gesture analysis which is especially suitable for analysing the gestures of persons with language disorders.
2013. The actual and potential use of gestures for communication in aphasia. Aphasiology 27:9 ► pp. 1070 ff.
Knapton, Olivia
2013. Publishing in Multimodal Formats: Opportunities and Challenges. TESOL Quarterly 47:4 ► pp. 856 ff.
Mlakar, Izidor, Zdravko Kacic & Matej Rojc
2013. TTS-Driven Synthetic Behavior Generation Model for Embodied Conversational Agents. In Coverbal Synchrony in Human-Machine Interaction, ► pp. 325 ff.
Mlakar, Izidor, Zdravko Kačič & Matej Rojc
2013. TTS-Driven Synthetic Behaviour-Generation Model for Artificial Bodies. International Journal of Advanced Robotic Systems 10:10
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