In recent years, stroke has become one of the leading causes of death in China, with about 2.4 million new cases every year, and the risk of the disease has increased dramatically in the elderly aged 60 and above. The disease causes neurological damage to patients, causing cognitive and hand movement disorders, which seriously affects their ability to take care of themselves, so rehabilitation training is extremely crucial. Existing hand rehabilitation equipment for stroke has its own advantages and disadvantages. Exoskeleton robot technology is mature but complex and expensive, and has low clinical acceptance. VR devices are fun, expensive, and prone to motion sickness; Although the traditional rehabilitation pegboard is portable and low-priced, it has a single model. In view of these shortcomings, this study proposes a gamified intelligent interactive device design scheme based on multisensory technology, which is composed of an intelligent electronic pegboard and a wearable bracelet, which has the characteristics of portability, ease of use, low cost and multisensory feedback. The intelligent electronic pegboard can train cognitive ability; The bracelet displays connection status and sign information and provides haptic feedback. During training, the device uses visual (natural elements to visualize), auditory (natural music) and tactile (vibrating stimuli) senses to motivate the patient through multisensory feedback. In order to verify the feasibility, this study used components such as Arduino Uno and 3D printing technology to make prototypes, and carried out a comparative experiment between traditional and smart pegboards, with the participation of 8 healthy elderly people aged 65–75 years, and evaluated by UEQ-S scale. The results showed that the smart pegboard performed well in pragmatic aspects such as assistance and efficiency, as well as pleasure and other hedonic aspects, which provided a new way for stroke rehabilitation.

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Research on the Intelligent Interaction Design of Gamified Hand Rehabilitation Training for the Elderly with Stroke

  • Shuyan Peng,
  • Yongyan Guo

摘要

In recent years, stroke has become one of the leading causes of death in China, with about 2.4 million new cases every year, and the risk of the disease has increased dramatically in the elderly aged 60 and above. The disease causes neurological damage to patients, causing cognitive and hand movement disorders, which seriously affects their ability to take care of themselves, so rehabilitation training is extremely crucial. Existing hand rehabilitation equipment for stroke has its own advantages and disadvantages. Exoskeleton robot technology is mature but complex and expensive, and has low clinical acceptance. VR devices are fun, expensive, and prone to motion sickness; Although the traditional rehabilitation pegboard is portable and low-priced, it has a single model. In view of these shortcomings, this study proposes a gamified intelligent interactive device design scheme based on multisensory technology, which is composed of an intelligent electronic pegboard and a wearable bracelet, which has the characteristics of portability, ease of use, low cost and multisensory feedback. The intelligent electronic pegboard can train cognitive ability; The bracelet displays connection status and sign information and provides haptic feedback. During training, the device uses visual (natural elements to visualize), auditory (natural music) and tactile (vibrating stimuli) senses to motivate the patient through multisensory feedback. In order to verify the feasibility, this study used components such as Arduino Uno and 3D printing technology to make prototypes, and carried out a comparative experiment between traditional and smart pegboards, with the participation of 8 healthy elderly people aged 65–75 years, and evaluated by UEQ-S scale. The results showed that the smart pegboard performed well in pragmatic aspects such as assistance and efficiency, as well as pleasure and other hedonic aspects, which provided a new way for stroke rehabilitation.