What it does
The aging - suitable intelligent cockpit of the electric wheelchair focuses on the travel pain points of the elderly group. It simplifies operations through intelligent control, enabling the elderly to handle it easily.
Your inspiration
Witnessing elderly people around me struggling with traditional wheelchairs due to difficult operation and poor adaptability, which limits their mobility and causes fatigue, I deeply understand the significance of independent travel for their dignity and quality of life, thus determining to solve this problem. The solution stems from multiple inspirations: observing the physiological characteristics and practical needs of the elderly, such as reduced limb flexibility and diverse physical parameters; researching the application potential of smart technologies in convenient operation and safety monitoring;
How it works
The aging-friendly intelligent cockpit of electric wheelchairs adopts a multi-technology integration design to enhance the travel experience of the elderly. In terms of control, it is equipped with gesture recognition and voice interaction technologies. The elderly can complete operations such as starting, steering, and accelerating/decelerating through simple gestures or voice commands. For example, when saying "go straight forward," the voice recognition module quickly parses the command, processes it through the main control chip, and drives the motor to perform corresponding actions, simplifying complex operation processes. In terms of safety, millimeter-wave radar and visual sensors are used to continuously detect surrounding obstacles. When dangers are identified, the warning system immediately emits audible and visual alerts, while the braking system automatically decelerates or stops to avoid collisions.
Design process
When observing the pain points of the elderly using traditional wheelchairs, such as complex operation, poor comfort, and low safety, we proposed the concept of an aging - friendly intelligent cockpit for electric wheelchairs by combining the development trend of intelligent technology. This concept focuses on three core requirements: convenient operation, personalized adaptation, and safety protection. We collected feedback from hundreds of elderly people and their families through questionnaires, in - depth interviews, and on - site observations, and sorted out key information such as weak limb strength, declining vision and hearing, and diverse body shapes, providing data support for the design. Based on the research results, we carried out several rounds of brainstorming to conceive the product framework. For operation, we planned gesture and voice interaction; for safety protection, we introduced millimeter - wave radar and visual sensors; and for comfort, we adopted 3D body scanning for customized seats. By drawing sketches and renderings, we determined the overall shape and functional layout.
How it is different
Our intelligent cockpit for aging-friendly electric wheelchairs stands out distinctly in terms of design philosophy, functional configurations, and user experience optimization. In terms of design philosophy, it deeply focuses on the complex and diverse needs of the elderly, with the core principles of "safety, comfort, convenience, and intelligence." It starts from the actual situations of the elderly, such as declining physical functions, limited mobility, and possible cognitive impairments, rather than merely focusing on basic travel. The functional configurations are full of highlights. It is equipped with an advanced dynamic balance adjustment system that uses sensors to monitor road conditions and the user's posture in real time and automatically adjusts the wheelchair's center of gravity. For example, on uneven roads or when turning, it can effectively prevent rollovers, a feature absent in many similar products.
Future plans
In the future, the intelligent cockpit of aging-friendly electric wheelchairs will evolve towards greater intelligence and humanization. Technologically, we plan to introduce an AI health monitoring system. Through sensors embedded in the seat, it will track health data such as the elderly's heart rate and blood pressure in real-time. When abnormalities are detected, it will automatically issue warnings and contact emergency contacts. We also aim to explore brain-computer interface technology, enabling wheelchair control through thoughts, which will bring convenience to the elderly with severely limited mobility.
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