Elderly inhabitants have a strong influence to healthcare facilities globally in the last few years as a result of the high demand on the healthcare services and the gap between the services provided by caregivers and...Elderly inhabitants have a strong influence to healthcare facilities globally in the last few years as a result of the high demand on the healthcare services and the gap between the services provided by caregivers and the increasing number of older people. Radio Frequency Identification (RFID) technologies have been increasingly adopted in smart homes and used widely for indoor localisation. These technologies have been benefiting to healthcare domain where they improve the quality of services delivering by healthcare providers. This article presents a comprehensive review on RFID systems and healthcare research works in smart homes. We also compare RFID-based solutions in healthcare and distinguish challenges of smart home technologies in indoor environment. We also discuss research challenges related to Activity in Daily Living (ADL) in smart homes for wellbeing.展开更多
Scatterplots and scatterplot matrix methods have been popularly used for showing statistical graphics and for exposing patterns in multivariate data.A recent technique,called Linkable Scatterplots,provides an interest...Scatterplots and scatterplot matrix methods have been popularly used for showing statistical graphics and for exposing patterns in multivariate data.A recent technique,called Linkable Scatterplots,provides an interesting idea for interactive visual exploration which provides a set of necessary plot panels on demand together with interaction,linking and brushing.This article presents a controlled study with a mixed-model design to evaluate the effectiveness and user experience on the visual exploration when using a Sequential-Scatterplots who a single plot is shown at a time,Multiple-Scatterplots who number of plots can be specified and shown,and Simultaneous-Scatterplots who all plots are shown as a scatterplot matrix.Results from the study demonstrated higher accuracy using the Multiple-Scatterplots visualization,particularly in comparison with the Simultaneous-Scatterplots.While the time taken to complete tasks was longer in the Multiple-Scatterplots technique,compared with the simpler Sequential-Scatterplots,Multiple-Scatterplots is inherently more accurate.Moreover,the Multiple-Scatterplots technique is the most highly preferred and positively experienced technique in this study.Overall,results support the strength of Multiple-Scatterplots and highlight its potential as an effective data visualization technique for exploring multivariate data.展开更多
文摘Elderly inhabitants have a strong influence to healthcare facilities globally in the last few years as a result of the high demand on the healthcare services and the gap between the services provided by caregivers and the increasing number of older people. Radio Frequency Identification (RFID) technologies have been increasingly adopted in smart homes and used widely for indoor localisation. These technologies have been benefiting to healthcare domain where they improve the quality of services delivering by healthcare providers. This article presents a comprehensive review on RFID systems and healthcare research works in smart homes. We also compare RFID-based solutions in healthcare and distinguish challenges of smart home technologies in indoor environment. We also discuss research challenges related to Activity in Daily Living (ADL) in smart homes for wellbeing.
文摘Scatterplots and scatterplot matrix methods have been popularly used for showing statistical graphics and for exposing patterns in multivariate data.A recent technique,called Linkable Scatterplots,provides an interesting idea for interactive visual exploration which provides a set of necessary plot panels on demand together with interaction,linking and brushing.This article presents a controlled study with a mixed-model design to evaluate the effectiveness and user experience on the visual exploration when using a Sequential-Scatterplots who a single plot is shown at a time,Multiple-Scatterplots who number of plots can be specified and shown,and Simultaneous-Scatterplots who all plots are shown as a scatterplot matrix.Results from the study demonstrated higher accuracy using the Multiple-Scatterplots visualization,particularly in comparison with the Simultaneous-Scatterplots.While the time taken to complete tasks was longer in the Multiple-Scatterplots technique,compared with the simpler Sequential-Scatterplots,Multiple-Scatterplots is inherently more accurate.Moreover,the Multiple-Scatterplots technique is the most highly preferred and positively experienced technique in this study.Overall,results support the strength of Multiple-Scatterplots and highlight its potential as an effective data visualization technique for exploring multivariate data.