A review of thermal array sensor-based activity detection in smart spaces using AIA review of thermal array sensor-based activity detection in smart spaces using AI
- Other Titles
- A review of thermal array sensor-based activity detection in smart spaces using AI
- Authors
- Nwakanma, Cosmas Ifeanyi; Anyanwu Goodness Oluchi; AHAKONYE LOVE ALLEN CHIJIOKE; Lee, Jae-Min; 김동성
- Issue Date
- Apr-2024
- Publisher
- 한국통신학회
- Keywords
- Activity detectionArtificial intelligenceEnsemble learningSmart spacesThermal sensor
- Citation
- ICT Express, v.10, no.2, pp 256 - 269
- Pages
- 14
- Journal Title
- ICT Express
- Volume
- 10
- Number
- 2
- Start Page
- 256
- End Page
- 269
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/28651
- DOI
- 10.1016/j.icte.2023.11.007
- Abstract
- Nowadays, research works into the dynamic and static human activities on Smart spaces abounds. Artificial Intelligence (AI) and low cost non-privacy invasive ambient sensors have made this ubiquitous. This review presents a state-of-the-art analysis, performance evaluation, and future research direction. One of the aims of activity recognition (especially that of humans) systems using thermal sensors and AI is the safety of persons in Smart spaces. In a Smart home, human activity detection systems are put in place to ensure the safety of persons in such an environment. This system should have the ability to monitor issues like fall detection, a common home-related accident. In this work, a review of trends in thermal sensor deployment, an appraisal of the popular datasets, AI algorithms, testbeds, and critical challenges of the recent works was provided to direct the research focus. In addition, a summary of AI models and their performance under various sensor resolutions was presented.
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