A review of thermal array sensor-based activity detection in smart spaces using AI
Cosmas Ifeanyi Nwakanma,
Goodness Oluchi Anyanwu,
Love Allen Chijioke Ahakonye,
Jae-Min Lee,
Dong-Seong Kim
Affiliations
Cosmas Ifeanyi Nwakanma
ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Republic of Korea; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea
Goodness Oluchi Anyanwu
ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Republic of Korea; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea
Love Allen Chijioke Ahakonye
ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Republic of Korea; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea
Jae-Min Lee
ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Republic of Korea; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea
Dong-Seong Kim
Corresponding author at: Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea.; ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Republic of Korea; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea
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.
