Movement expressivity, on which we focus in this chapter, has been widely studied and described by psychologists, sociologists, and neuroscientists. More recently, movement expressivity is receiving increasing attention also by computer scientists with the aim to develop machines with social and emotional intelligence. This chapter, after providing a definition of expressive movement, describes qualitative and quantitative methods, frameworks and algorithms for movement expressivity analysis.
Movement expressivity, on which we focus in this chapter, has been widely studied and described by psychologists, sociologists, and neuroscientists. More recently, movement expressivity is receiving increasing attention also by computer scientists with the aim to develop machines with social and emotional intelligence. This chapter, after providing a definition of expressive movement, describes qualitative and quantitative methods, frameworks and algorithms for movement expressivity analysis.
Movement Expressivity Analysis: From Theory to Computation / Varni, Giovanna; Mancini, Maurizio. - (2020), pp. 213-233. [10.1007/978-3-030-46732-6_11]
Movement Expressivity Analysis: From Theory to Computation
Varni, Giovanna;
2020-01-01
Abstract
Movement expressivity, on which we focus in this chapter, has been widely studied and described by psychologists, sociologists, and neuroscientists. More recently, movement expressivity is receiving increasing attention also by computer scientists with the aim to develop machines with social and emotional intelligence. This chapter, after providing a definition of expressive movement, describes qualitative and quantitative methods, frameworks and algorithms for movement expressivity analysis.| File | Dimensione | Formato | |
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