Analyzing touchless hand gestures performance


Abstract:

As part of a Natural User Interface we can use human body gestures, although they must be evaluated to get better results. We can evaluate them using a quantitative model. For this purpose, we begin the gesture analysis of touchless hand gestures with this work. Our analysis is based on significant gesture attributes. From the large number of possible attributes we select the trajectory. We propose to describe the trajectory by using distance units and directions. We then evaluate our proposal with two gesture data sets. We found that the proposal can be used to describe and quantify gesture trajectories. Moreover, we found that well-defined changes of directions (or corners) influence the speed for performing a gesture, thus users need more time to execute the gesture. The proposed method allows a trajectory to be quantified in a simple manner. © 2013 ACM.

Año de publicación:

2013

Keywords:

  • quantitative evaluation model
  • Natural User Interfaces
  • gestures

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Visión por computadora
  • Ciencias de la computación

Áreas temáticas:

  • Ciencias de la computación
  • Métodos informáticos especiales
  • Interacción social

Contribuidores: