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Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review
Aida Kamišalić1, Iztok Fister2, Muhamed Turkanović3
1Institute of Informatics, Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia. aida.kamisalic@um.si.
Sensors (Basel, Switzerland)
|May 26, 2018
Summary
This review covers sensors, data visualization, and intelligent analysis for non-invasive wrist-wearable devices. It presents a taxonomy of technologies for health and activity monitoring.
Area of Science:
- Biomedical Engineering
- Human-Computer Interaction
- Sensor Technology
Background:
- Wearable devices are gaining significant attention for diverse applications.
- Research is increasingly focused on non-invasive human health and activity monitoring.
- Numerous wearable sensors are being developed for real-time data acquisition.
Purpose of the Study:
- To comprehensively review sensors in wrist-wearable devices.
- To examine methods for visualizing measured parameters.
- To explore intelligent data analysis techniques for wrist-wearable data.
Main Methods:
- Literature review of sensors, visualization, and analysis methods.
- Analysis of features in commercial wrist-wearable devices.
- Development of a taxonomy for non-invasive wrist-wearable technologies.
Main Results:
- A comprehensive overview of sensor types used in wrist-wearable devices.
- Identification of various data visualization techniques.
- Summary of intelligent algorithms for data interpretation.
- Presentation of key features of current commercial devices.
Conclusions:
- The study provides a structured taxonomy of sensors, functionalities, and methods for non-invasive wrist-wearable devices.
- This review serves as a valuable resource for researchers and developers in the field.
- Understanding these components is crucial for advancing wearable technology for health and activity monitoring.
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