The managerial implications behind camera-acquired 3D gestures classifications to control a computer system.

After a reminder of the importance of these technologies today, a selection of application domains (operating rooms, entertainment, crisis management, TV, and human-robot interaction), as well as an analysis of the different needs to be considered in the development of HCI interfaces; several existing classifications (Kendon,Quek, Aigner, ...) are presented. In addition, the way in which gestural information is presented is analysed according to the taxonomies of Bernsen and Dybkjær, and McAweeney.Then, after combining Vafaei's classification with Aigner's, this classification was used to analyse a set of 571 gestures from 42 gesture elicitation studies. This allowed to analyse some gaps, and thus to propose a new taxonomy in order to classify the gestures in the most optimal way. Finally, the managerial implications behind the different requirements and the proposed taxonomy are explained, which includes, among other things, following the Kano model, including soft constraints in elicitation studies, and adressing the challenges linked with the requirements.