Use Case 3: Traditional Craftsmanship

Use Case 3: Traditional Craftsmanship

The case study of the traditional handicrafts aims at the analysis, modelling, recognition and semantic analysis of gestural interactions between the craftsman and his material. Within the proposed context, handicraft interaction means gesture control of the material. In order to develop a hybrid gesture recognition methodology, depth cameras will be used for the detection of global hand gestures and postures, optical cameras for finger gesture recognition and embedded sensors for the measurement of gestural parameters. Thus, this novel methodology will integrate both gestures performed in space, implying motion of the arms, and hand gestures performed on a surface or on objects, taking into account the fingers’ motions. The system will continuously recognize the entire gestural information of the craftsman, relying on the recording and the identification of the most effective interactions between him and his material. In short, this use case aims to “put in a closet” the most effective gestures of holders of rare handicraft knowledge.

Figure 1: The case study of the traditional handicrafts aims at the analysis, modelling, recognition and semantic analysis of gestural interactions between the craftsman and his material.