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Movement Detection Controller for Customized Smart Automation

Kushagra KulshreshthaGLA University,Institute of Business Management,Mathura,IndiaSandeep BishtGraphic Era Hill University,School of Management,Uttarakhand,IndiaJejji Singh AroraChandigarh Group of Colleges Jhanjeri,Chandigarh Engineering College,Department of Computer Application,Mohali,Punjab,India,140307Muntather AlmusawiThe Islamic University,College of Technical Engineering,Department of Computers Techniques Engineering,Najaf,IraqUrinbaev SharofiddinNational Research University,Tashkent Institute of Irrigation and Agricultural Mechanization Engineers",Department of Physics and Chemistry,Tashkent,UzbekistanVinay KandpalGraphic Era Deemed to be University,Department of Management Studies,Dehradun,India

2024en

ABI

Аннотация

Intelligent settings, including smart houses, are becoming easier to create because to recent advancements in internet of things and declining sensor costs. Smart homes have the potential to enhance people's lives, freedom, and health by offering home support services, particularly for older people and people in need of care. Smart houses need to be able to comprehend its residents' everyday activities in order to provide these features. The ability to recognize human movement in intelligent dwellings is becoming more advanced every day. But fresh issues crop up every day. This article describes the latest algorithms, achievements, problems, and taxonomies in the field of identifying human activities in smart homes using environmental sensors. Furthermore, since activity recognition in automated homes is an emerging topic, we identify not only unique problems but also important missed contributions. It also provides guidance, research opportunities, and solutions to advance the development of this field.

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Мавзулар

IoT-based Smart Home Systems Embedded Systems and FPGA Design Industrial Automation and Control Systems

Идентификаторлар

DOI: 10.1109/i3ceet61722.2024.10993785

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