SenseBot: A Wearable Sensor Enabled Robotic System to Support Health and Well-being

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Abstract

The exponential growth of the technology industry over the past years has led to the development of a new paradigm. Pervasive Computing, which seeks to integrate computational capabilities into ev- eryday objects so that they can communicate efficiently and perform useful tasks in a way that minimises the need for the end-users to inter- act with computers. Along with this paradigm, new technologies, such as wireless body area sensor network (WBASN) and robotics, have been rapidly growing. Such innovations can be used as health and wellness enablers. This paper introduces a system to support the health and well- being of people in both in-door and out-door environments. The system consists of an app, a robot and a remote server. The app and the robot can be connected to a wristband to monitor movements, physical activ- ities, and heart rates. Furthermore, the app provides functions for users to record and monitor their calories intakes, and completed workouts. The robot is equipped with speech capabilities which, integrated with the emotion recognition algorithm, provide supportive feedback to the user. The proposed system represents an early step towards automated care in everyday life which opens the doors to many new scenarios, such as for elderly people who need help but live independently or also for people who would like to improve their lifestyles.
Original languageEnglish
Title of host publicationSenseBot: A Wearable Sensor Enabled Robotic System to Support Health and Well-Being
EditorsHaithem Ali, Udo Bleimann, Dirk Burkhardt, Robert Loew, Stefanie Regier, Ingo Stengel , Haiying Wang, Huiru Zheng
PublisherCEUR Workshop Proceedings
Pages30-45
Number of pages6
Volume2815
ISBN (Electronic)1613-0073
Publication statusPublished - 17 Feb 2021
Event6th Collaborative European Research Conference - Belfast, United Kingdom
Duration: 10 Sep 202011 Sep 2020

Conference

Conference6th Collaborative European Research Conference
Abbreviated titleCERC2020
CountryUnited Kingdom
CityBelfast
Period10/09/2011/09/20

Keywords

  • wearable sensor
  • robotic system
  • emotion recognition
  • Speech recognition

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