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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-24. (canceled) 25. A method for providing personalized configuration of a sleep platform for the human body, comprising: providing an artificial neural network 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 said artificial neural network, and then returning at least one of guidance and control parameters directed to adjustment and positioning of said sleep platform, including at least one of tilt and recline angles; generating personalized adjustment parameters directed to positioning and control of support and comfort configurations in said sleep platform for at least one of healthcare, hospitality, and in-home applications. 26. The method of claim 25 further 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. 27. The method of claim 25 wherein, said artificial intelligence network is included in an artificial intelligence module adapted to operate in an Internet cloud computing environment. 28. The method of claim 25, wherein behavior of a neuron in said artificial neural network 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. 29. The method of claim 25, wherein the method is implemented as a specific purpose mobile device comprising a computational framework, artificial neural network, a goniometer, and controls for positioning and adjustment settings directed to providing position and shape control parameters for said sleep platform. 30. The method of claim 25, wherein said artificial neural network is embodied as an artificial intelligence (AI) module trained with clinical research data directed to optimal positioning and adjustment of said sleep platform for a defined purpose or desired outcome. 31. The method of claim 25, wherein users input into a user interface demographic, neurological, and pressure ulcer history information for an individual, and at least recommended tilt and recline angles are determined favorable to reduce risk of pressure ulcer formation. 32. The method of claim 25, wherein said artificial neural network is replaced by an alternative artificial intelligence technique, comprising any one of a classification, clustering, or regression technique. 33. A system for providing personalized configuration of a sleep platform for the human body, comprising: a user interface for accepting input including at least one of an individual's demographic information, neurological attributes, physical history, operational environment, and outcome or use objectives; an artificial intelligence module adapted to operate in an Internet cloud that evaluates user input and returns at least one of guidance and control parameters directed to at least one of shape adjustment and support positioning, including at least one of tilt and recline angles; 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, and behavior of a neuron is defined by its internal activation function, which accumulates input signals and then calculates outputs. a mobile device adapted to at least collect said user information, request guidance on support position parameters, display results, and receive input captured by an angle measuring device, wherein personalized adjustment parameters are provided to direct positioning and control of support and comfort configurations in said sleep platform for at least one of healthcare, hospitality, and in-home applications. 34. The system of claim 33, further comprising a specific purpose device integrated into a powered sleep platform, where the device includes a computational framework, artificial neural network, a goniometer, and controls for actuating adjustment of at least one of shape, tilt and recline. 35. The system of claim 33, wherein said angle measuring device is configured as a goniometer that measures at least current tilt and recline angles and contrasts those angles with guidance angles to generate control parameters that cause the tilt and recline angle of a powered sleep platform to be altered to a precise angular position. 36. The system of claim 35, further comprising a user interface configured to display recommended shape, tilt and recline angles, or other position parameters for said sleep platform. 37. The system of claim 36, wherein recommended tilt and recline angles may be output wirelessly to a control function operating in a powered sleep platform to adjust at least one of shape and orientation of said powered sleep platform. 38. The system of claim 36, wherein said goniometer uses an accelerometer sensor configured in said mobile device to measure angles relative to any physical orientation in which said mobile device is positioned, enabling measurement of at least one of tilt and recline angles. 39. The system of claim 33, wherein a user registration component is provided which allows users to create and review profiles comprising at least one of demographic information, neurological information, and pressure ulcer history. 40. The system of claim 33, wherein output includes: a range of orientation parameters including at least tilt and recline angles that are favorable for pressure reduction for an intended occupant of said sleep platform; optimal shape, tilt and recline angles that are most effective in reducing the risk of pressure ulcers; and the optimal frequency and duration to perform sleep platform reconfiguration functions. 41. An apparatus for determining optimal positioning for a sleep platform support orientation, comprising: a user interface on a mobile device that accepts input including an individual's demographic information, neurological attributes, and injury history, said mobile device adapted to at least collect user information, request guidance on sleep platform tilt and recline usage or other position parameters, display results to the user, and receive input captured by a goniometer to measure sleep platform orientation angles; an artificial intelligence engine that provides at least one of guidance and control parameters directed to at least: (1) favorable sleep platform tilt and recline settings; (2) optimal sleep platform tilt and recline angles that may most effectively reduce pressure ulcer risks; (3) optimal duration and frequency to perform sleep platform reconfiguration functions; and (4) measurement of tilt and recline angles by implementing said goniometer; an artificial intelligence module operable 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, the neurons in adjacent layers adapted to communicate with each other by sending and receiving signals through weighted connections; wherein personalized adjustment parameters are provided to direct positioning and control of support and comfort configurations in said sleep platform for at least one of healthcare, hospitality, and in-home applications. 42. The apparatus of claim 41, wherein actionable aural guidance is provided to achieve recommended tilt and recline settings in substantially real-time as tilt and recline settings are adjusted on said sleep platform. 43. The apparatus of claim 41, wherein said goniometer implements a computational model of the mobile device to enable substantially accurate measurement of at least sleep platform tilt and recline angles relative to any physical orientation in which said mobile device is positioned, and wherein said goniometer can work independently or in conjunction with said artificial intelligence engine. 44. The apparatus of claim 41, wherein said sleep platform orientation can be determined for at least one of a manual sleep platform and a power sleep platform.