Prediction & Anticipation Features based Intellectual Assistant in Location Based Services

Intellectual assistant in a location based service (LBS) is considered here as assistive technology in healthcare system for helping users with sensory, physical or intellectual diminished capabilities. The proposed system has the speculative computation module which helps in orientation for predicting the users’ error and alerting them for ensuring a true traveling direction well in advance for the handicapped people of mild to moderate condition of disability in earlier phases of cognitive disabilities. A person with cognitive impairments has the Trajectory (T) associated with them which is a sequenced set of past global positioning system (GPS) points. The implementation and evaluation of the trajectory data mining method have been done for the purpose of achieving the travel route to the user preferences. For the simulation of proposed system, a client server queuing model has been used. The results show the minimization of the overhead with better precision as compared to earlier existing path guiding systems.

Prediction and Anticipation Features-Based Intellectual Assistant in Location-Based Services

Intellectual assistant in a location based service (LBS) is considered here as assistive technology in healthcare system for helping users with sensory, physical or intellectual diminished capabilities. The proposed system has the speculative computation module which helps in orientation for predicting the users’ error and alerting them for ensuring a true traveling direction well in advance for the handicapped people of mild to moderate condition of disability in earlier phases of cognitive disabilities. A person with cognitive impairments has the Trajectory (T) associated with them which is a sequenced set of past global positioning system (GPS) points. The implementation and evaluation of the trajectory data mining method have been done for the purpose of achieving the travel route to the user preferences. For the simulation of proposed system, a client server queuing model has been used. The results show the minimization of the overhead with better precision as compared to earlier existing path guiding systems.

Prediction and Anticipation Features-Based Intellectual Assistant in Location-Based Services

Intellectual assistant in a location based service (LBS) is considered here as assistive technology in healthcare system for helping users with sensory, physical or intellectual diminished capabilities. The proposed system has the speculative computation module which helps in orientation for predicting the users’ error and alerting them for ensuring a true traveling direction well in advance for the handicapped people of mild to moderate condition of disability in earlier phases of cognitive disabilities. A person with cognitive impairments has the Trajectory (T) associated with them which is a sequenced set of past global positioning system (GPS) points. The implementation and evaluation of the trajectory data mining method have been done for the purpose of achieving the travel route to the user preferences. For the simulation of proposed system, a client server queuing model has been used. The results show the minimization of the overhead with better precision as compared to earlier existing path guiding systems.

An Orientation Method with Prediction and Anticipation Features

Nowadays, progress is constant and inherent to a living society. This may occur in different arenas, namely in mathematical evaluation and healthcare. Assistive technologies are a topic under this evolution, being extremely important in helping users with diminished capabilities (physical, sensory, intellectual). These technologies assist people in tasks that were difficult or impossible to execute. A common diminished task is orientation, which is crucial for the user autonomy. The adaptation to such technologies should require the minimum effort possible in order to enable the person to use devices that convey assistive functionalities. There are several solutions that help a human being to travel between two different locations, however their authors are essentially concerned with the guidance method, giving special attention to the user interface. The CogHelper system aims to overcome these systems by applying a framework of Speculative Computation, which adds a prediction feature for the next user movement giving an anticipation ability to the system. Thus, an alert is triggered before the user turn towards an incorrect path. The travelling path is also adjusted to the user preferences through a trajectory mining module.