IEEE Systems, Man, & Cybernetics Magazine, Volume 6, Number 4, October 2020
Original price was: $11.00.$5.50Current price is: $5.50.
Institute of Electrical
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- File Size: 7.8 MB
- Book Language: English
- Total Page Count: 64
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Connected sensors, intelligent systems, and human-centered technology come together in this October 2020 issue of IEEE Systems, Man, & Cybernetics Magazine. Its six feature articles move from the pressure-sensing cushion beneath a seated user to indoor navigation, Internet of Things data, and technology-assisted rehabilitation—offering a distinctly interdisciplinary view of systems research in practice.
From everyday sensing to intelligent systems
The issue opens its feature section with research on smart cushions that recognize sitting-related activity and posture. Other articles examine HTC Vive Tracker accuracy for indoor localization and a method for combining Wi-Fi mapping with inertial navigation indoors. Together, these topics show how sensing and data interpretation can be applied to ordinary environments as well as specialized systems.
IoT, data, and the systems around us
Two features widen the lens: a manifesto on the meeting point between the Internet of Things and business process management, and an exploration of visual cluster assessment for big-data analysis using real-world IoT data. The focus is not simply on collecting information, but on how connected technologies and analytical approaches can help make complex systems more understandable.
Technology with a human purpose
A feature on game-based rehabilitation therapy considers ways to support motivation and engagement for people after stroke. The issue’s editorial also reflects on virtual reality during the COVID-19 period, while the smart-cushion article considers applications that include posture support, healthcare, and body-language recognition.
A broad view of systems and cybernetics
Alongside the technical features, readers will find a Society president’s message and profiles of five members elevated to IEEE Fellow. This issue will interest readers following systems engineering, human–machine interaction, sensing, IoT, data analysis, and applied rehabilitation research.
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