SmartAssist - Wireless Sensor Networks for Unobtrusive Health Monitoring

Andreas Schrader; Darren Carlson; Peter Rothenpieler

SmartAssist - Wireless Sensor Networks for Unobtrusive Health Monitoring

Andreas Schrader, Darren Carlson, Peter Rothenpieler

Institut für Telematik

Abstract

Emerging demographic changes require new technical solutions to serve the growing elderly population in many countries around the world. Ambient Assisted Living approaches promise to deliver context-aware, personalized services designed to help elderly people live healthier and more autonomous lives. In this direction, we are developing the SmartAssist project, which provides a socio-technical platform based on wireless sensors at home and on the move that detect subtle long-term changes in health status and serve to enhance the user's social network with context-aware services. In this paper, we discuss the combination of wireless in-house sensors and mobile sensors on smart phones to realize unobtrusive health monitoring.

Originalsprache	Englisch
Titel	Proceedings of the 5th BMI Workshop on Behaviour Monitoring and Interpretation
Seitenumfang	6
Band	678
Erscheinungsort	Karlsruhe, Germany
Erscheinungsdatum	01.09.2010
Seiten	84-89
Publikationsstatus	Veröffentlicht - 01.09.2010
Veranstaltung	5th Workshop on Behaviour Monitoring and Interpretation 2010 - Karlsruhe, Deutschland Dauer: 21.09.2010 → 21.09.2010

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 9 – Industrie, Innovation und Infrastruktur
SDG 11 – Nachhaltige Städte und Gemeinschaften
SDG 12 – Verantwortungsvoller Konsum und Produktion

Dokumente

BMI10-08Endgültige, publizierte Fassung (Verlagsversion), 621 KB

Weitere Links

https://www.scopus.com/pages/publications/84890022233

Zitieren

@inproceedings{aec53802dba748ebb3c83eff1685989a,

title = "SmartAssist - Wireless Sensor Networks for Unobtrusive Health Monitoring",

abstract = "Emerging demographic changes require new technical solutions to serve the growing elderly population in many countries around the world. Ambient Assisted Living approaches promise to deliver context-aware, personalized services designed to help elderly people live healthier and more autonomous lives. In this direction, we are developing the SmartAssist project, which provides a socio-technical platform based on wireless sensors at home and on the move that detect subtle long-term changes in health status and serve to enhance the user's social network with context-aware services. In this paper, we discuss the combination of wireless in-house sensors and mobile sensors on smart phones to realize unobtrusive health monitoring.",

author = "Andreas Schrader and Darren Carlson and Peter Rothenpieler",

year = "2010",

month = sep,

day = "1",

language = "English",

volume = "678",

series = "CEUR Workshop Proceedings",

pages = "84--89",

booktitle = "Proceedings of the 5th BMI Workshop on Behaviour Monitoring and Interpretation",

note = "5th Workshop on Behaviour Monitoring and Interpretation 2010, BMI 2010 ; Conference date: 21-09-2010 Through 21-09-2010",

}

Schrader, A, Carlson, D & Rothenpieler, P 2010, SmartAssist - Wireless Sensor Networks for Unobtrusive Health Monitoring. in Proceedings of the 5th BMI Workshop on Behaviour Monitoring and Interpretation. Bd. 678, CEUR Workshop Proceedings, Bd. 678, Karlsruhe, Germany, S. 84-89, 5th Workshop on Behaviour Monitoring and Interpretation 2010, Karlsruhe, Baden-Württemberg, Deutschland, 21.09.10.

SmartAssist - Wireless Sensor Networks for Unobtrusive Health Monitoring. / Schrader, Andreas; Carlson, Darren; Rothenpieler, Peter.
Proceedings of the 5th BMI Workshop on Behaviour Monitoring and Interpretation. Band 678 Karlsruhe, Germany, 2010. S. 84-89 (CEUR Workshop Proceedings; Band 678).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - SmartAssist - Wireless Sensor Networks for Unobtrusive Health Monitoring

AU - Schrader, Andreas

AU - Carlson, Darren

AU - Rothenpieler, Peter

PY - 2010/9/1

Y1 - 2010/9/1

N2 - Emerging demographic changes require new technical solutions to serve the growing elderly population in many countries around the world. Ambient Assisted Living approaches promise to deliver context-aware, personalized services designed to help elderly people live healthier and more autonomous lives. In this direction, we are developing the SmartAssist project, which provides a socio-technical platform based on wireless sensors at home and on the move that detect subtle long-term changes in health status and serve to enhance the user's social network with context-aware services. In this paper, we discuss the combination of wireless in-house sensors and mobile sensors on smart phones to realize unobtrusive health monitoring.

AB - Emerging demographic changes require new technical solutions to serve the growing elderly population in many countries around the world. Ambient Assisted Living approaches promise to deliver context-aware, personalized services designed to help elderly people live healthier and more autonomous lives. In this direction, we are developing the SmartAssist project, which provides a socio-technical platform based on wireless sensors at home and on the move that detect subtle long-term changes in health status and serve to enhance the user's social network with context-aware services. In this paper, we discuss the combination of wireless in-house sensors and mobile sensors on smart phones to realize unobtrusive health monitoring.

UR - https://www.scopus.com/pages/publications/84890022233

M3 - Conference contribution

VL - 678

T3 - CEUR Workshop Proceedings

SP - 84

EP - 89

BT - Proceedings of the 5th BMI Workshop on Behaviour Monitoring and Interpretation

CY - Karlsruhe, Germany

T2 - 5th Workshop on Behaviour Monitoring and Interpretation 2010

Y2 - 21 September 2010 through 21 September 2010

ER -

SmartAssist - Wireless Sensor Networks for Unobtrusive Health Monitoring

Abstract

UN SDGs

Dokumente

Weitere Links

Fingerprint

Zitieren