A User-Developed 3-D Hand Gesture Set for Human–Computer Interaction. Pereira, A., Wachs, J., P., Park, K., & Rempel, D. Human Factors: The Journal of the Human Factors and Ergonomics Society, 57(4):607-621, 6, 2015.
A User-Developed 3-D Hand Gesture Set for Human–Computer Interaction [link]Website  doi  abstract   bibtex   
Objective: The purpose of this study was to develop a lexicon for 3-D hand gestures for common humancomputer interaction (HCI) tasks by considering usability and effort ratings. Background: Recent technologies create an opportunity for developing a free-form 3-D hand gesture lexicon for HCI. Method: Subjects (N = 30) with prior experience using 2-D gestures on touch screens performed 3-D gestures of their choice for 34 common HCI tasks and rated their gestures on preference, match, ease, and effort. Videos of the 1,300 generated gestures were analyzed for gesture popularity, order, and response times. Gesture hand postures were rated by the authors on biomechanical risk and fatigue. Results: A final task gesture set is proposed based primarily on subjective ratings and hand posture risk. The different dimensions used for evaluating task gestures were not highly correlated and, therefore, measured different properties of the taskgesture match. Application: A method is proposed for generating a user-developed 3-D gesture lexicon for common HCIs that involves subjective ratings and a posture risk rating for minimizing arm and hand fatigue.
@article{
 title = {A User-Developed 3-D Hand Gesture Set for Human–Computer Interaction},
 type = {article},
 year = {2015},
 keywords = {HCI,fatigue,gesture,human-computer interaction,usability},
 pages = {607-621},
 volume = {57},
 websites = {http://hfs.sagepub.com/content/early/2014/11/21/0018720814559307.abstract,http://journals.sagepub.com/doi/10.1177/0018720814559307},
 month = {6},
 day = {24},
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 created = {2021-06-04T19:36:50.811Z},
 accessed = {2015-05-28},
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 abstract = {Objective: The purpose of this study was to develop a lexicon for 3-D hand gestures for common humancomputer interaction (HCI) tasks by considering usability and effort ratings. Background: Recent technologies create an opportunity for developing a free-form 3-D hand gesture lexicon for HCI. Method: Subjects (N = 30) with prior experience using 2-D gestures on touch screens performed 3-D gestures of their choice for 34 common HCI tasks and rated their gestures on preference, match, ease, and effort. Videos of the 1,300 generated gestures were analyzed for gesture popularity, order, and response times. Gesture hand postures were rated by the authors on biomechanical risk and fatigue. Results: A final task gesture set is proposed based primarily on subjective ratings and hand posture risk. The different dimensions used for evaluating task gestures were not highly correlated and, therefore, measured different properties of the taskgesture match. Application: A method is proposed for generating a user-developed 3-D gesture lexicon for common HCIs that involves subjective ratings and a posture risk rating for minimizing arm and hand fatigue.},
 bibtype = {article},
 author = {Pereira, Anna and Wachs, Juan P. and Park, Kunwoo and Rempel, David},
 doi = {10.1177/0018720814559307},
 journal = {Human Factors: The Journal of the Human Factors and Ergonomics Society},
 number = {4}
}

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