80,730 research outputs found
Advances in human-friendly robotic technologies for movement assistance/movement restoration for people with disabilities
Rehabilitation robots (RR) are expected to play an important role toward the independent life of older persons and persons with disabilities. Such intelligent devices, embedded into the home environment, can provide the resident with 24-hour movement assistance. Modern home-installed robots tend to be not only physically versatile in functionality but also emotionally human-friendly, i.e. they may be able to perform their functions without disturbing the user and without causing him/her any pain, inconvenience, or movement restriction, instead possibly providing him/her with comfort and pleasure. This paper analyzes the main categories of RR. The paper will then discuss some important issues of the future development of an intelligent residential space with a human-friendly rehabilitation robots integrated with it
Realization of ageing-friendly smart home system with computational intelligence
To tackle a number of challenging difficulties in the coming aged society, we consider intelligent design of the residential space as a solution approach to realize "independence, social connectivity and maintained productivity" for older persons. We first review the contemporary technologies involved in constructing smart homes world-wide and then report our experiences of implementing a smart home with various automation subsystems along with robotic agents and health monitoring subsystem. For reduction of human intervention during home operation, long-term learning of human behavior is studied for continued service by robotic systems, for which a couple of computational intelligence-based algorithms are utilized. Then, we discuss some important issues on smart home systems for older persons including technical direction, role of computational intelligence techniques and design philosophy
Facial Emotional Expression Recognition with Soft Computing Techniques: Real World Applicable Systems
A concept for control of indoor-operated autonomous wheelchair
The present chapter introduces a navigation algorithm for a wheelchair in semistructured home environment. The user sets the end position and orientation of the wheelchair and the controller autonomously steers the wheelchair from the current position to the goal. The algorithm includes a procedure for automatic creation of an initial map of the wheelchair surroundings that is used afterwards for composition of collision-free path from the starting point to the target. Calculation of the present wheelchair position is based on the information of the TV images from ceiling mounted cameras that detect the wheelchair in all steps of its movement toward the goal. For prevention from navigation failures in situations when wheelchair markers cannot be clearly detected by the cameras, the information about the angular rotation of the driving wheels is used for calculation of the current position. In order to set the movement task, the user refers to a wheelchair-mounted monitor where the images from all rooms are represented. After selection of the TV image from the room where the target is located, one puts the end wheelchair position and orientation by pointing them directly on the image. The information, collected by onboard-mounted range sensors during the wheelchair operation, is used for obstacle avoidance and map update. The map can be additionally corrected and modified by the user. A special simulator ROSI (RObotic SImulator) is designed for computer testing of the proposed algorithm. Finally, some design principles of the simulator and results from the initial evaluation of the algorithm with the simulation are remarked
An Adaptive Facial Expression Recognition System Using Fuzzy Neural Network Model and Q-learning
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