George Boateng, M.S., reports on new Amulet research in his Master’s thesis, available as a Dartmouth Computer Science Technical Report.
Abstract. Physical activity helps reduce the risk of cardiovascular disease, hypertension and obesity. The ability to monitor a person’s daily activity level can inform self-management of physical activity and related interventions. For older adults with obesity, the importance of regular, physical activity is critical to reduce the risk of long-term disability. In this work, we present ActivityAware, an application on the Amulet wrist-worn device that monitors the daily activity levels (low, moderate and vigorous) of older adults in real-time. The app continuously collects acceleration data on the Amulet, classifies the current activity level, updates the day’s accumulated time spent at that activity level, displays the results on the screen and logs summary data for later analysis.
The app implements an activity-level detection model we developed using a Linear Support Vector Machine (SVM). We trained our model using data from a user study, where subjects performed common physical activities (sit, stand, lay down, walk and run). We obtained accuracies up to 99.2% and 98.5% with 10-fold cross validation and leave-one-subject-out (LOSO) cross-validation respectively. We ran a week-long field study to evaluate the utility, usability and battery life of the ActivityAware system where 5 older adults wore the Amulet as it monitored their activity level. The utility evaluation showed that the app was somewhat useful in achieving the daily physical activity goal. The usability feedback showed that the ActivityAware system has the potential to be used by people for monitoring their activity levels. Our energy-efficiency evaluation revealed a battery life of at least 1 week before needing to recharge. The results are promising, indicating that the app may be used for activity-level monitoring by individuals or researchers for epidemiological studies, and eventually for the development of interventions that could improve the health of older adults.
Advisors: David Kotz, Ryan Halter, John Batsis
Congratulations to Emily Greene, an undergraduate in the Amulet group, who received Honorable Mention for the NCWIT Collegiate Award from the National Center for Women & Information Technology (NCWIT). Emily is spending this week at the NCWIT Summit on Women and IT in Tucson, Arizona.
Here is her video submission, which describes a cryptographically-supported mechanism for selective sharing of streams of mHealth data, such as those that would be produced by Amulet applications.
This presentation was captured and shared by the University of Washington when Professor David Kotz visited to present the Amulet project in a CS department colloquium, early in December 2016.
Today at the ACM Conference on Embedded Networked Sensor Systems (SenSys 2016) the Amulet team presented a paper about the design and evaluation of the Amulet platform – and unveiled a video overview of the platform and its capabilities. Check out the specs below the photo.
Indeed, we are pleased to share the Amulet hardware and software, open-source on GitHub, under a generous license that allows free use by the research community. We encourage you to download the details, fabricate your own Amulet wearable, and let us know what you think!
I’m pleased to share a new paper that we’ll be presenting next month at the Workshop on Mobile Medical Applications – Design and Development (WMMADD) at SenSys in Memphis.
Abstract: Interest in using mobile technologies for health-related applications (mHealth) has increased. However, none of the available mobile platforms provide the essential properties that are needed by these applications. An mHealth platform must be (i) secure; (ii) provide high availability; and (iii) allow for the deployment of multiple third-party mHealth applications that share access to an individual’s devices and data. Smartphones may not be able to provide property (ii) because there are activities and situations in which an individual may not be able to carry them (e.g., while in a contact sport). A low-power wearable device can provide higher availability, remaining attached to the user during most activities. Furthermore, some mHealth applications require integrating multiple on-body or near-body devices, some owned by a single individual, but others shared with multiple individuals. In this paper, we propose a secure system architecture for a low-power bracelet that can run multiple applications and manage access to shared resources in a body-area mHealth network. The wearer can install a personalized mix of third-party applications to support the monitoring of multiple medical conditions or wellness goals, with strong security safeguards. Our preliminary implementation and evaluation supports the hypothesis that our approach allows for the implementation of a resource monitor on far less power than would be consumed by a mobile device running Linux or Android. Our preliminary experiments demonstrate that our secure architecture would enable applications to run for several weeks on a small wearable device without recharging.
Andrés Molina-Markham, Ronald Peterson, Joseph Skinner, Tianlong Yun, Bhargav Golla, Kevin Freeman, Travis Peters, Jacob Sorber, Ryan Halter, David Kotz. Amulet: A secure architecture for mHealth applications for low-power wearable devices. In Proceedings of the Workshop on Mobile Medical Applications – Design and Development (WMMADD), November 2014. [PDF]