Movement Detection Controller for Customized Smart Automation

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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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993785
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Movement Detection Controller for Customized Smart Automation

Vinay Kandpal, Kushagra Kulshreshtha, Muntather Almusawi, Sandeep Bisht et al.
IoT-based Smart Home Systems
article

Movement Detection Controller for Customized Smart Automation

Vinay Kandpal, Kushagra Kulshreshtha, Muntather Almusawi, Sandeep Bisht, Jejji Singh Arora, Urinbaev Sharofiddin
article en

Abstract

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.

Iraqi University (IQ), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Graphic Era University (IN), GLA University (IN), Punjab Engineering College (IN)
Openalex Percentile: Top 72%
IoT-based Smart Home Systems
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