Heart on the road: HRV analysis for monitoring a driver's affective state
Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
StressSense: detecting stress in unconstrained acoustic environments using smartphones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
The case for psychological computing
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Unobtrusive sleep monitoring using smartphones
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
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In this paper, we propose Sinabro, an opportunistic and unobtrusive mobile electrocardiogram (ECG) monitoring system that monitors the user's ECG opportunistically during daily smartphone use. Daily ECG monitoring will open up an unprecedented opportunity for pervasive healthcare applications. It will enable the daily detection and prevention of heart problems and also allow inferences about stress, emotion, and even sleep quality. Despite its huge potential, daily ECG monitoring still has not become reality due to its obtrusiveness. In this paper, we first study the potential opportunity to capture ECGs from daily use of smartphones, without requiring the user's explicit attention. Based on such an opportunity, we present a prototype ECG sensor that allows neat integration with a smartphone and the Sinabro system to provide ECG-related physiological status. We show the basic feasibility of our approach, based on daily smartphone usage through phone usage analysis and prototype-based experiments.