Healthopia: towards your well-being in everyday life

In this paper, we propose Healthopia, a full-fledged health monitoring platform. With the prevalence of smartphones and wearable health sensors, sensor-enabled mobile well-being applications emerge, for instance, calorie monitor [13], fall detector [11], pollution detector, heartbeat monitor [1][4]. Despite the importance and usefulness of such applications, it is significantly challenging to develop such applications; developers should concern about many complicated issues, such as accurate data analysis and inferring, distributed programming over multiple sensing devices, resource optimization. To address such issues, and facilitate the development and deployment of the applications, we develop Healthopia platform. Using the declarative query-based API, applications can easily delegate monitoring requests for diverse health information, e.g., calorie consumption, heart condition, pollution level. Healthopia takes care of complicated underlying issues in sensor data processing and resource management, and delivers the requested health information. In this paper, we propose a novel sensor control technique applied in Healthopia, which reduces battery power significantly.

[1]  Philip de Chazal,et al.  A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features , 2006, IEEE Transactions on Biomedical Engineering.

[2]  Mark D. Corner,et al.  Eon: a language and runtime system for perpetual systems , 2007, SenSys '07.

[3]  Pedro José Marrón,et al.  Meeting lifetime goals with energy levels , 2007, SenSys '07.

[4]  M. Kangas,et al.  Determination of simple thresholds for accelerometry-based parameters for fall detection , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Niraj K. Jha,et al.  An energy-aware framework for dynamic software management in mobile computing systems , 2008, TECS.

[6]  David W. McDonald,et al.  Activity sensing in the wild: a field trial of ubifit garden , 2008, CHI.

[7]  Matt Welsh,et al.  Resource aware programming in the Pixie OS , 2008, SenSys '08.

[8]  Youngki Lee,et al.  SeeMon: scalable and energy-efficient context monitoring framework for sensor-rich mobile environments , 2008, MobiSys '08.

[9]  Gaetano Borriello,et al.  Validated caloric expenditure estimation using a single body-worn sensor , 2009, UbiComp.

[10]  Wei Chen,et al.  Wireless transmission design for health monitoring at neonatal intensive care units , 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

[11]  Vidas Raudonis,et al.  Discrete eye tracking for medical applications , 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

[12]  Jinwon Lee,et al.  MobiCon: Mobile Context Monitoring Platform for Sensor-Rich Dynamic Environments , 2010 .

[13]  Masaki Shuzo,et al.  Collaborative processing of wearable and ambient sensor system for health monitoring application , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

[14]  Sangeeta Bhattacharya,et al.  Jog Falls: A Pervasive Healthcare Platform for Diabetes Management , 2010, Pervasive.

[15]  Youngki Lee,et al.  Orchestrator: An active resource orchestration framework for mobile context monitoring in sensor-rich mobile environments , 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[16]  G. Calcagnini,et al.  Simulation of daily ECG monitoring strategies for atrial fibrillation patients , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

[17]  Youngki Lee,et al.  A Scalable and Energy-Efficient Context Monitoring Framework for Mobile Personal Sensor Networks , 2010, IEEE Transactions on Mobile Computing.

[18]  Dimitra I. Kaklamani,et al.  Introducing privacy-awareness in remote healthcare monitoring , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

[19]  Inseok Hwang,et al.  Exploring inter-child behavioral relativity in a shared social environment: a field study in a kindergarten , 2010, UbiComp.

[20]  Youngki Lee,et al.  MobiCon: a mobile context-monitoring platform , 2012, CACM.