Intelligent apparatus for providing personalized configuration of wheelchair tilt and recline

摘要

A method and apparatus for providing personalized configuration of physical supports for the human body, comprising accepting input including an individual's demographic information, neurological attributes, physical history, operational environment, and outcome or use objectives, processing user input employing an artificial intelligence engine, and then returning guidance and/or control parameters directed to seating adjustment and positioning, including incline angles for wheelchair tilt and recline.

主权项

1. A method for providing personalized configuration of physical supports for the human body, comprising:
providing a mobile device removably mountable on a physical support, adapted to at least collect user information, request guidance on position parameters of said physical support, display results, and receive orientation data produced by an angle detection device to measure at least tilt and recline angles of said physical support; providing an artificial intelligence module adapted to operate in an Internet cloud, including an artificial neural network (ANN) having a layered network structure in which processing units (i.e., neurons) are arranged in layers, where the neurons in adjacent layers can communicate with each other by sending and receiving signals through weighted connections; accepting input including an individual's demographic information, neurological attributes, physical history, operational environment, and outcome or use objectives; processing said input employing an artificial intelligence technique, and then returning at least one of guidance and control parameters directed to adjustment and positioning of said physical support, including at least one of tilt and recline angles; wherein behavior of a neuron in said ANN is defined by its internal activation function, which accumulates input signals and then calculates outputs, and wherein a learning process proceeds in iterations by tuning weights of connections using a training algorithm.