Activity sensing in the wild: a field trial of ubifit garden
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Accurate, fast fall detection using posture and context information
Proceedings of the 6th ACM conference on Embedded network sensor systems
Accurate, fast fall detection using posture and context information
Proceedings of the 6th ACM conference on Embedded network sensor systems
Heartphones: Sensor Earphones and Mobile Application for Non-obtrusive Health Monitoring
ISWC '09 Proceedings of the 2009 International Symposium on Wearable Computers
Hijacking power and bandwidth from the mobile phone's audio interface
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Mobile posture monitoring system to prevent physical health risk of smartphone users
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Septimu2 - earphones for continuous and non-intrusive physiological and environmental monitoring
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Smart pose: mobile posture-aware system for lowering physical health risk of smartphone users
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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A mobile phone, as a pervasive device, has great potential in human wellness monitoring. In this demo, we first present the design and implementation of our hardware - SEPTIMU. SEPTIMU consists of a small baseboard and a pair of tiny sensor boards embedded inside conventional earphones. The baseboard provides power conversion and data communication through the normal audio jack interface. The embedded sensor board is 1×1cm2 and integrates 3-axis accelerometer, gyroscope, thermometer, photodiode and microphone. Secondly, we evaluate SEPTIMU using a mobile application that continuously monitors body posture and provides feedback to the user.