Depth (2014) Game Free Full Download
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Depth (2014) Game Free Full Download
ReShade is a generic post-processing injector for games and video software developed by crosire. Imagine your favorite game with ambient occlusion, real depth of field effects, color correction and more ... ReShade exposes an automated and generic way to access both frame color and depth information (latter is automatically disabled during multiplayer to prevent exploitation) and all the tools to make it happen.
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To the best of our knowledge, there are very few works that design and implement an intelligent activity recognition toolbox using depth cameras based on life-logging interface especially for elder people. Our proposed system is mainly focused on providing solutions to certain issues for the elderly people as: first, it provides an intelligent environment for ambient assisted living, includes scene (home/office/hospital) activity monitoring and assistance for elder people during risk factors, controls the environment and generates a log of everyday life routines which can be properly examined by doctors or nurses to improve the quality of life. Second, it provides special services for the older people such as reducing the mortality rate and overcoming extensive resource utilization. For instance, mortality rate and health problems are increasing enormously due to unsatisfactory healthcare and living alone facilities for the elderly in the European countries [29]. To deal with such circumstances, it is necessary to establish a personalized healthcare service that monitors the daily routines of elderly people, which not only reduce the mortality rate factor but also allows them to move freely as compared to institutional care or nursing homecare. According to a World Health Organization survey, the population of older people is rapidly increasing all over the world and their healthcare needs are becoming more complex, which consumes more resources (i.e., human and healthcare expenditures) [30]. Consequently, our system provides services (i.e., a single camera system) which overcomes the extensive resource utilization issue and improves the quality of life of elderly people. Third, the problems of similar postures of different activities are recognized by our proposed method. Our work is mainly focused on the development of a complete life-logging HAR system which provides data collection, activity training, feature extraction, modeling, recognition and log generation at a single powerful framework having a user-friendly interface and thus represents a major contribution in the field of HAR based on depth sensors.
The datasets are quite challenging because many of the activities in the datasets are highly similar to each other. Also, subjects are freely and randomly performing the various activities, thus, the trajectories of their movement make our datasets more challenging. To explain a clear picture of our datasets, Figure 10 shows some sample depth silhouettes of all three smart indoor activity environments. Furthermore, some sequential activities having skeleton representations that illustrate our datasets are shown in Figure 11.
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