objectives: in this research we evaluate an individually family-based dohsa exercise programme of balance in the aged people and its effect on self confidence for performing common daily tasks with less falling could be influenced by training. methods: from a residential care center, five aged person were participated in this study. they were trained by dohsa method for six weeks. two types of ...

We describe a real-time computer vision and machine learning system for modeling and recognizing human actions and interactions. Two different domains are explored: recognition of two-handed motions in the martial art 'Tai Chi' , and multiple-person interactions in a visual surveillance task. Our system combines top-down with bottom-up information using a feedback loop, and is formulated with a...

We, participants in the First International Congress of Person centered Medicine and the Board of the International College of Person-Centered Medicine, call for action to promote person-centered health for all through transfor-mative educational concepts, programs and actions. Person Centered Medicine seeks to place the whole person in context at the center and as the goal of clinical practice...

One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for collecting them, lower costs for storing and processing them. Unfortunately, many reported face recognition techniques rely heavily on the size and representative of training set, and most of them will suffer serious ...

Provides guidelines for bathing persons with dementia and procedures for dealing with specific bathing problems in long-term care settings. Addresses ways to maintain quality of bathing procedures, and includes case exercises to be used for training. Designed to help long-term care staff individualize the bathing approach, focus on the person, enlist cooperation, give the person choices, and us...

Person identification using audio or visual biometrics is a well-studied problem in pattern recognition. In this scenario, both training and testing are done on the same modalities. However, there can be situations where this condition is not valid, i.e. training and testing has to be done on different modalities. This could arise, for example, in covert surveillance. Is there any person specif...

Person re-identification (ReID) focuses on identifying people across different scenes in video surveillance, which is usually formulated as a binary classification task or a ranking task in current person ReID approaches. In this paper, we take both tasks into account and propose a multi-task deep network (MTDnet) that makes use of their own advantages and jointly optimize the two tasks simulta...