Trail marking test multichannel data collection method and system based on digital pen

Abstract

The invention belongs to the digital medical field and particularly relates to a trail marking test (TMT) multichannel data collection method and system by use of the three-dimensional attitudes of trail, pressure and pen body of a digital pen. Multichannel input of the digital pen is utilized to establish a novel TMT data collection method based on the digital pen, therefore, cognition and hand movement functional data can be effectively quantized, and the comprehensiveness and objectiveness of disease information judgment can be improved. Multichannel input (a pen point trail, pen point pressure, a pen tail three-dimensional dip angle, a rotation angle of the pen body, etc.) of the digital pen are fused. A time-related TMT data model is established through a multichannel fusion method, and a foundation is laid for a cognition-movement functional evaluation method.

Description

technical field [0001] The invention belongs to the field of digital medical treatment, and in particular relates to a multi-channel data acquisition method and system for online testing using the trajectory, pressure, and three-dimensional posture of a digital pen. Background technique [0002] Recent advances in human-computer interaction and pattern recognition technologies have created more possibilities for designing pen-based computing applications (References: GROSKY W I, ZELEZNIK, R., MILLER, T., VAN DAM, A., LI, C. , TENNESON, D., MALONEY, C., LAVIOLA, J.J. Applications and Issues in Pen-Centric Computing [J]. IEEEMultiMedia, 2008, 15pp.14-21.). Tablet PC, a representative pen-based computing platform (reference: DAVIS R. Magic Paper: Sketch-Understanding Research [J]. 2007, 40pp. 34-41.), similar to writing on paper with a pen , people can use a digital pen to draw on the tablet screen. Pen-based interaction is accessible to those with little or no computer exper...

AI Technical Summary

Problems solved by technology

However, it does not include the analysis of the user's pen-holding posture.

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