A Grammar for Specifying Full-Body Gestures Elicited for Abstract Tasks
(2020) Journal of Intelligent and Fuzzy Systems — Vol. 39, n° 2, p. 2433-2444 (2020)
Files
Cespedes-JIFS2019.pdf
Open Access - Adobe PDF
- 1.26 MB
Details
- Authors
- Abstract
- A gesture elicitation study consists of a popular method for eliciting a sample of end-users to propose gestures for executing functions in a certain context of use, specified by its users and their functions, the device or the platform used, and the physical environment in which they are working. Gestures proposed in such a study needs to be classified and, perhaps, extended in order to feed a gesture recognizer. To support this process, we conducted a full-body gesture elicitation study for executing functions in a smart home environment by domestic end-users in front of a camera. Instead of defining functions opportunistically, we define them based on a taxonomy of abstract tasks. From these elicited gestures, an XML-compliant grammar for specifying resulting gestures is defined, created, and implemented to graphically represent, label, characterize, and formally present such full-body gestures. The formal notation for specifying such gestures is also useful to generate variations of elicited gestures to be applied on-the-fly on gestures in order to allow one-shot learning.
- Affiliations
Citations
David Céspedes-Hernández, Juan Manuel González-Calleros, Josefina Guerrero-García, & Vanderdonckt, J. (2020). A Grammar for Specifying Full-Body Gestures Elicited for Abstract Tasks. Journal of Intelligent and Fuzzy Systems, 39(2), 2433-2444. https://doi.org/10.3233/JIFS-179903 (Original work published 2020)