A semi-automatic design method of handwriting self-help devices for individuals with upper limb dysfunctions

Abstract

The global demand for assistive devices to support individuals with disabilities is increasing, yet their accessibility remains limited. Self-help devices (SHDs), particularly for handwriting tasks, play a pivotal role in enhancing independence. This study presents a semi-automated method for producing personalized handwriting SHDs, thereby reducing the need for occupational therapists (OTs) to possess advanced technical skills and enabling them to concentrate on patient care. Ten healthy participants, simulating upper limb dysfunctions by restricting their finger joint mobility with bandages, are recruited for the study. OTs assess measurements that encompass manual measurements, automatic joint recognition, and 3D scanning for digital representation. This process facilitates the development of a personalized SHD 3D model, utilizing 3D CAD software. The SHD model is designed to be adaptable, allowing adjustments based on the individual's unique hand measurements. The 3D model, composed of six primary components, is then fabricated using 3D printing technology. The streamlined process, from measurement to production, reduces design and printing time to approximately two hours. Testing focuses on handwriting speed and letter legibility, with participants reporting enhanced comfort and a significant increase in handwriting speed using our SHD compared to conventional SHDs. Furthermore, users experienced improved letter legibility in addition to a significant increase in handwriting speed with our SHD. The study's innovation promises to broaden the reach of personalized assistive devices and allows OTs to better focus on patient care, improving therapy outcomes.

Keywords

• assistive devices
• self-help devices
• handwriting
• semi-automated
• 3d scanning
• 3d printing