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Non-obtrusive Sleep Detection for Character Computing Profiling

  • Alia ElBolockEmail author
  • Rowan Amr
  • Slim Abdennadher
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 722)

Abstract

The majority of existing Adaptive Systems rely on the user’s current state (affect) without taking the user’s general state (character) into consideration. In order to achieve truly seamless adaptive interactive systems, understanding the user’s character (i.e. Character Profile) is required. This paper presents a non-obtrusive sleep detector, MySleep, which is part of a multimodal lifelogging platform called MyLife. MyLife is designed for the main purpose of enabling building Character Profiles for users, which is a main artefact required in Character Computing. The aim of MySleep is to provide sleep records to be used in character profiling without requiring the user to use any external hardware and with minimal interaction. A study was conducted to test the accuracy of MySleep and compare it to other wearable sleep detectors. For the required purposes, the results provided by MySleep are accurate enough with requiring minimal interaction with the user.

Keywords

Character Computing Lifelogging Human computer interaction Adaptive Systems Personality computing 

Notes

Acknowledgements

We would like to acknowledge Yomna Abdelrahman (University of Stuttgart) for her valuable insights while writing this paper.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Computer ScienceGerman University in CairoNew Cairo, CairoEgypt

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