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Sensor Information Processing for Wearable IoT Devices

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dc.contributor.author Shenoy, Meetha V.
dc.date.accessioned 2023-03-28T09:30:07Z
dc.date.available 2023-03-28T09:30:07Z
dc.date.issued 2019-11
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-3-030-33596-0_7
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10018
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject EEE en_US
dc.subject Sensor fusion en_US
dc.subject Context-aware en_US
dc.subject Cloud computing en_US
dc.subject Neural networks en_US
dc.subject Fog computing en_US
dc.title Sensor Information Processing for Wearable IoT Devices en_US
dc.type Article en_US


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