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Title: | Sensor Information Processing for Wearable IoT Devices |
Authors: | Shenoy, Meetha V. |
Keywords: | EEE Sensor fusion Context-aware Cloud computing Neural networks Fog computing |
Issue Date: | Nov-2019 |
Publisher: | Springer |
Abstract: | Sensing technology is one of the core enablers of IoT and the improvement in sensing technology has lead to the proliferation of small form-factor, cost-effective and accurate sensors for wide variety of wearable applications. With wearable devices receiving widespread acceptance, their requirements are becoming more demanding, with the focus shifting from simple monitoring to context aware intelligent devices. This chapter presents a comprehensive description of the technical opportunities and challenges in the design of sensor information processing systems for wearables. A systematic survey of the state of the art architectures for sensor fusion for different application classes of wearable’s is presented. A discussion on design considerations for architecting sensor processing systems, including hardware, networking protocols, and algorithms at the edge, cloud level is provided. The chapter is concluded with a discussion on innovation directions in smart sensing and information processing in wearable devices. |
URI: | https://link.springer.com/chapter/10.1007/978-3-030-33596-0_7 http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10018 |
Appears in Collections: | Department of Electrical and Electronics Engineering |
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