Technological breakthroughs occur at an ever-increasing rate thereby revolutionizing human health and wellness care.Technological advancements have drastically changed the structure and organization of the healthcare ...Technological breakthroughs occur at an ever-increasing rate thereby revolutionizing human health and wellness care.Technological advancements have drastically changed the structure and organization of the healthcare industry.McKinsey Global Institute estimates that 800 million workers worldwide could be replaced by robots by the year 2030.There is already a robotic revolution happening in healthcare wherein robots have made tasks and procedures more efficient and safer.Locsin and Ito has addressed the threat to nursing practice with human nurses being replaced by humanoid robots.Routine nursing care dictated solely by prescribed procedures and accomplishment of nursing tasks would be best performed by machines.With the future practice of nursing in a technologically advanced future transcending the implementation of nursing actions to achieve predictable outcomes,how can human nurses remain relevant as practitioners of nursing?Nurses should be involved in deciding which aspects of their practice can be delegated to technology.Nurses should oversee the introduction of automated technology and artificial intelligence ensuring their practice to be more about the universal aspects of human care continuing under a novel system.Nursing education and nursing research will change to encompass a differentiated demand for professional nursing practice with,and not for,robots in healthcare.展开更多
Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm(LBP) and k-Nearest Neighbo...Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm(LBP) and k-Nearest Neighbor algorithm(KNN) are facial emotional features extracted and recognized. Meanwhile, facial emotional features put influence on robot's emotion state, which is described in AVS emotion space. Then the optimization of smart home environment on the cognitive emotional model is specially analyzed using simulated annealing algorithm(SA). Finally, transition probability from any emotional state to a state of basic emotions is obtained based on the cognitive reappraisal strategy and Euclidean distance. The simulation and experiment have tested and verified the effective in reducing negative emotional state.展开更多
文摘Technological breakthroughs occur at an ever-increasing rate thereby revolutionizing human health and wellness care.Technological advancements have drastically changed the structure and organization of the healthcare industry.McKinsey Global Institute estimates that 800 million workers worldwide could be replaced by robots by the year 2030.There is already a robotic revolution happening in healthcare wherein robots have made tasks and procedures more efficient and safer.Locsin and Ito has addressed the threat to nursing practice with human nurses being replaced by humanoid robots.Routine nursing care dictated solely by prescribed procedures and accomplishment of nursing tasks would be best performed by machines.With the future practice of nursing in a technologically advanced future transcending the implementation of nursing actions to achieve predictable outcomes,how can human nurses remain relevant as practitioners of nursing?Nurses should be involved in deciding which aspects of their practice can be delegated to technology.Nurses should oversee the introduction of automated technology and artificial intelligence ensuring their practice to be more about the universal aspects of human care continuing under a novel system.Nursing education and nursing research will change to encompass a differentiated demand for professional nursing practice with,and not for,robots in healthcare.
基金supported by National Natural Science Foundation of China (Normal Project No. 61170115), (Key Project No.61432004)National Key Technologies R&D Program of China (No.2014BAF08B04)the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services
文摘Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm(LBP) and k-Nearest Neighbor algorithm(KNN) are facial emotional features extracted and recognized. Meanwhile, facial emotional features put influence on robot's emotion state, which is described in AVS emotion space. Then the optimization of smart home environment on the cognitive emotional model is specially analyzed using simulated annealing algorithm(SA). Finally, transition probability from any emotional state to a state of basic emotions is obtained based on the cognitive reappraisal strategy and Euclidean distance. The simulation and experiment have tested and verified the effective in reducing negative emotional state.
