Project Title Complex Activity Context Recognition within Smart Environments
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چکیده
Pervasive computing aims to enable a new paradigm of human-centric computer interaction by embedding increasingly ubiquitous connected computing devices in an environment to allow thorough integration of everyday objects and activities. Built upon this, ambient intelligence tries to make the environment sensitive and responsive to the presence of people by providing technologies and systems that support context awareness, personalization, adaptability and anticipation. In combination this creates an intelligent environment where miniature computing devices work in concert to support people in carrying out their daily working and living activities in an easy, natural and personalised way. A compelling real-world example of such an environment is a “Smart Home” – an augmented home environment within which the daily activities of its inhabitants, usually the elderly or disabled, are monitored and analysed so that personalized context-aware assistance can be provided. Others examples include intelligent transport, smart cities and smart hospitals, to name but a few.
منابع مشابه
Ambient and smartphone sensor assisted ADL recognition in multi-inhabitant smart environments
Activity recognition in smart environments is an evolving research problem due to the advancement and proliferation of sensing, monitoring and actuation technologies to make it possible for large scale and real deployment. While activities in smart home are interleaved, complex and volatile; the number of inhabitants in the environment is also dynamic. A key challenge in designing robust smart ...
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