Augmenting Sensor Performance with Machine Learning Towards Smart Wearable Sensing Electronic Systems. (21st April 2022)

• Record Type: Journal Article
• Authors: Zhang, Songlin; Suresh, Lakshmi; Yang, Jiachen; Zhang, Xueping; Tan, Swee Ching
• Is Part Of: Advanced intelligent systems. Volume 4:Number 4(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-04-21
• Subjects: Artificial intelligence -- Periodicals; Robotics -- Periodicals; Control theory -- Periodicals; 006.3
• DOI: 10.1002/aisy.202270016
• Languages: English
• ISSNs: 2640-4567

Abstract

Abstract : Wearable Sensing Electronic Systems By implementing machine learning algorithms, the performance of smart wearable sensing electronic systems is significantly improved, with a boosted capability to collect and analyze physiological data from the human bodies (i.e., biochemical, biopotential, and biophysical signals), thus enabling a pyramid of applications, such as health monitoring, disease diagnosis and treatment, human‐machine interfaces, and virtual/augmented reality, etc. More information can be found in article number 2100194 by Swee Ching Tan and co‐workers.