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- Title
Sensing and Signal Processing in Smart Healthcare.
- Authors
Zhao, Wenbing; Sampalli, Srinivas
- Abstract
Such technologies often integrate with various sensors that facilitate the collection of human motion and physiological data, and are equipped with wireless communication modules such as Bluetooth, radio frequency identification (RFID), and near field communication (NFC). The simulation data are based on position and attitude data collected via inertial sensors mounted on the foot. In [[7]], Nurmaini et al. proposed to use deep learning to extract features in ECG electrocardiogram (ECG) data for machine-learning based classification on normal and abnormal heartbeats. The remaining three papers aimed at direct human activity detection using inertial sensors [[9]], time of flight sensors [[9]], near-infrared camera [[10]], and Microsoft Kinect sensor [[11]].
- Subjects
SIGNAL processing; HUMAN activity recognition; ACQUISITION of data; INFRARED cameras
- Publication
Electronics (2079-9292), 2020, Vol 9, Issue 11, p1954
- ISSN
2079-9292
- Publication type
Editorial
- DOI
10.3390/electronics9111954