Augmented Reality is a technique that allows users to overlap digital information with their physical world.The Augmented Reality(AR)displays have an exceptional characteristic from the Human–Computer Interaction(HCI...Augmented Reality is a technique that allows users to overlap digital information with their physical world.The Augmented Reality(AR)displays have an exceptional characteristic from the Human–Computer Interaction(HCI)perspective.Due to its increasing popularity and application in diverse domains,increasing user-friendliness and AR usage are critical.Context-aware is one approach since an AR application can adapt to the user,environment,needs and enhance ergonomic principles and functionality.This paper proposes the Intelligent Contextaware Augmented Reality Model(ICAARM)for Human–Computer Interaction systems.This study explores and reduces interaction uncertainty by semantically modeling user-specific interaction with context,allowing personalised interaction.Sensory information is captured from an AR device to understand user interactions and context.These depictions carry semantics to Augmented Reality applications about the user’s intention to interact with a specific device affordance.Thus,this study describes personalised gesture interaction in VR/AR applications for immersive/intelligent environments.展开更多
Hand gesture recognition (HGR) is used in a numerous applications,including medical health-care, industrial purpose and sports detection.We have developed a real-time hand gesture recognition system using inertialsens...Hand gesture recognition (HGR) is used in a numerous applications,including medical health-care, industrial purpose and sports detection.We have developed a real-time hand gesture recognition system using inertialsensors for the smart home application. Developing such a model facilitatesthe medical health field (elders or disabled ones). Home automation has alsobeen proven to be a tremendous benefit for the elderly and disabled. Residentsare admitted to smart homes for comfort, luxury, improved quality of life,and protection against intrusion and burglars. This paper proposes a novelsystem that uses principal component analysis, linear discrimination analysisfeature extraction, and random forest as a classifier to improveHGRaccuracy.We have achieved an accuracy of 94% over the publicly benchmarked HGRdataset. The proposed system can be used to detect hand gestures in thehealthcare industry as well as in the industrial and educational sectors.展开更多
实体界面(Tangible User Interface,TUI)作为交互装置与受众的交互媒介、现实世界与数字世界之边界,直接影响受众审美体验。从受众审美体验出发,探讨交互装置中的实体界面设计策略。首先,将受众对交互装置的审美体验过程分为知觉、触发...实体界面(Tangible User Interface,TUI)作为交互装置与受众的交互媒介、现实世界与数字世界之边界,直接影响受众审美体验。从受众审美体验出发,探讨交互装置中的实体界面设计策略。首先,将受众对交互装置的审美体验过程分为知觉、触发、反馈三个阶段,总结出知觉在先、触发的无目的性及体验的合目的性特征;其次,根据以上特征,分析良好的交互装置审美体验所依赖的实体界面条件。根据交互装置的审美体验特征及其实体界面所创条件,提出制造信息线索、引入恰当隐喻、排除交互障碍三个设计策略。从受众审美体验出发,结合实体界面的特征及优势,为改善交互装置审美体验提供思路。展开更多
文摘Augmented Reality is a technique that allows users to overlap digital information with their physical world.The Augmented Reality(AR)displays have an exceptional characteristic from the Human–Computer Interaction(HCI)perspective.Due to its increasing popularity and application in diverse domains,increasing user-friendliness and AR usage are critical.Context-aware is one approach since an AR application can adapt to the user,environment,needs and enhance ergonomic principles and functionality.This paper proposes the Intelligent Contextaware Augmented Reality Model(ICAARM)for Human–Computer Interaction systems.This study explores and reduces interaction uncertainty by semantically modeling user-specific interaction with context,allowing personalised interaction.Sensory information is captured from an AR device to understand user interactions and context.These depictions carry semantics to Augmented Reality applications about the user’s intention to interact with a specific device affordance.Thus,this study describes personalised gesture interaction in VR/AR applications for immersive/intelligent environments.
基金supported by a grant (2021R1F1A1063634)of the Basic Science Research Program through the National Research Foundation (NRF)funded by the Ministry of Education,Republic of Korea.
文摘Hand gesture recognition (HGR) is used in a numerous applications,including medical health-care, industrial purpose and sports detection.We have developed a real-time hand gesture recognition system using inertialsensors for the smart home application. Developing such a model facilitatesthe medical health field (elders or disabled ones). Home automation has alsobeen proven to be a tremendous benefit for the elderly and disabled. Residentsare admitted to smart homes for comfort, luxury, improved quality of life,and protection against intrusion and burglars. This paper proposes a novelsystem that uses principal component analysis, linear discrimination analysisfeature extraction, and random forest as a classifier to improveHGRaccuracy.We have achieved an accuracy of 94% over the publicly benchmarked HGRdataset. The proposed system can be used to detect hand gestures in thehealthcare industry as well as in the industrial and educational sectors.
文摘实体界面(Tangible User Interface,TUI)作为交互装置与受众的交互媒介、现实世界与数字世界之边界,直接影响受众审美体验。从受众审美体验出发,探讨交互装置中的实体界面设计策略。首先,将受众对交互装置的审美体验过程分为知觉、触发、反馈三个阶段,总结出知觉在先、触发的无目的性及体验的合目的性特征;其次,根据以上特征,分析良好的交互装置审美体验所依赖的实体界面条件。根据交互装置的审美体验特征及其实体界面所创条件,提出制造信息线索、引入恰当隐喻、排除交互障碍三个设计策略。从受众审美体验出发,结合实体界面的特征及优势,为改善交互装置审美体验提供思路。
