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In hardware deployments, it is often necessary to test platforms for suitability for particular purposes. As lengthy data collection processes often outlive specific iterations of hardware and firmware, it is likely that migration between platforms may become necessary. In this short paper we describe a practical approach employed for acceptance testing, comparison and validation of two iterations of a wearable accelerometer and localisation platform, based on an annotated 15-task activity script. We present an analysis on the data generated for the different activities, and compare device performance using common machine learning algorithms for activity recognition.
|Title of host publication||2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)|
|Publisher||IEEE Computer Society|
|Number of pages||6|
|Publication status||Published - 4 Aug 2020|
|Event||2020 IEEE International Conference on Pervasive Computing and Communications Workshops - Austin, TX, United States|
Duration: 23 Mar 2020 → 27 Mar 2020
|Conference||2020 IEEE International Conference on Pervasive Computing and Communications Workshops|
|Period||23/03/20 → 27/03/20|
- Digital Health
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End to End System Optimisation of Wireless Interconnected Sensors for Healthcare Monitoring at Homes: Advancements in multimodal sensing technology for healthcare in residential environmentsAuthor: Vafeas, A. T., 21 Jan 2021
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)File