Ambient Intelligence for Eldercare – the Nuts and Bolts: Sensor Data Acquisition, Processing and Activity Recognition Under Resource Constraints

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Author(s): Jit Biswas (Institute for Infocomm Research, Singapore), Andrei Tolstikov (Institute for Infocomm Research, Singapore), Aung-Phyo-Wai Aung (Institute for Infocomm Research, Singapore), Victor Siang-Fook Foo (Institute for Infocomm Research, Singapore)and Weimin Huang (Institute for Infocomm Research, Singapore)
Copyright: 2011
Pages: 32
Source title: Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives
Source Author(s)/Editor(s): Nak-Young Chong (Japan Advanced Institute of Science and Technology, Japan)and Fulvio Mastrogiovanni (University of Genova, Italy)
DOI: 10.4018/978-1-61692-857-5.ch020

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

This chapter provides examples of sensor data acquisition, processing and activity recognition systems that are necessary for ambient intelligence specifically applied to home care for the elderly. We envision a future where software and algorithms will be tailored and personalized towards the recognition and assistance of Activities of Daily Living (ADLs) of the elderly. In order to meet the needs of the elderly living alone, researchers all around the world are looking to the field of Ambient Intelligence or AmI (see http://www.ambientintelligence.org).

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Ambient Intelligence for Eldercare – the Nuts and Bolts: Sensor Data Acquisition, Processing and Activity Recognition Under Resource Constraints

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