Control of Haptic Motors for Intuitive Touch Sensation
Author(s)
Jenkins, Alison Louise
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Abstract
Haptic signals in existing technologies are limited by profile designs and by the lack of testing for user interpretation. To develop new profile designs and a baseline for standardizing user testing, this dissertation provides the development of: wristband apparatuses, an accurate linear resonant actuator (LRA) system model that captures the electromagnetic effects, and command-shaping control implementation in profile designs. In addition, several user tests are conducted to understand interpretation of profile designs. Finally, a machine-learning-based haptic profile design analysis tool is developed and trained on profile features and the results of the user studies to provide insight into profile interpretation. The outcomes of this dissertation work provide a basis for other haptics researchers to develop intuitive profile designs for touch sensation.
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Date
2025-12
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Text
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Dissertation (PhD)