No Thumbnail Available
Wrist-based Gesture Interaction for Sports: Elicitation and Application
Files
Flamend_30191700_Remacle_42081700_2024.pdf
Open access - Adobe PDF
- 6.9 MB
Details
- Supervisors
- Faculty
- Degree label
- Abstract
- When you're running, it's not always very practical to take out your phone to change music, to answer a call or to monitor your pace. In this thesis, we work on a solution to this problem, Kinemic. This connected bracelet allows you to detect the gestures made by your arm to transform them into actions. The objective of this work is to carry out an elicitation study to determine the most intuitive and natural gestures that should be made for each action. To do so, we chose the 21 most useful actions while running and asked 30 participants which gesture they would do for each action. After that we put together their movements to make a group of 32 gestures, we analysed their characteristics and identified those with the most consensus. Finally we discussed the results obtained and we provided guidelines for the use of these gestures in other applications.