SEHCMar 7, 2019

Comparative Study of APIs and Frameworks for Haptic Application Development

arXiv:1903.02691v111 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for effective haptic application development tools in medical training, but it is incremental as it focuses on comparing existing frameworks.

The paper conducted a comparative study of popular haptic frameworks and APIs to identify the best platform for developing a haptic simulator for medical training, resulting in a classification based on 11 criteria and the development of a visual-haptic prototype for liver diagnostics.

The simulation of tactile sensation using haptic devices is increasingly investigated in conjunction with simulation and training. In this paper we explore the most popular haptic frameworks and APIs. We provide a comprehensive review and comparison of their features and capabilities, from the perspective of the need to develop a haptic simulator for medical training purposes. In order to compare the studied frameworks and APIs, we identified and applied a set of 11 criteria and we obtained a classification of platforms, from the perspective of our project. According to this classification, we used the best platform to develop a visual-haptic prototype for liver diagnostics.

Foundations

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