Christian Middleton
Jawbone - Senior Engineering Manager
Christian is a Sr. Engineer Manager of the UP Platform at Jawbone, leading the
architecture and development of backend services, as well as the integration of Jawbone’s APIs with external partners and developers. Previously, he led the Games team at hi5. He was a PhD student in Computer Science at the Universitat Pompeu Fabra, under the supervision of Ricardo Baeza-Yates. In 2004 he earned an MSc degree, as well as a Computer Science Engineer, at the Universidad de Chile. His main interests are Web mining, search engines, and building high performance systems.
architecture and development of backend services, as well as the integration of Jawbone’s APIs with external partners and developers. Previously, he led the Games team at hi5. He was a PhD student in Computer Science at the Universitat Pompeu Fabra, under the supervision of Ricardo Baeza-Yates. In 2004 he earned an MSc degree, as well as a Computer Science Engineer, at the Universidad de Chile. His main interests are Web mining, search engines, and building high performance systems.
Keeping consumers engaged in their efforts to acquire and maintain a healthy lifestyle is a continuing challenge. In this talk, we describe a rule-based “eco system” in which information from a wearable sensor is synchronized with a smartphone that, in turn, synchronizes with the cloud.
Specifically, movement and sleep data is retrieved from the sensor device via the phone; this data is then integrated with dietary and geolocation data stored on the phone, and then aggregated with other user’s data on the cloud. This talk describes how Jawbone implemented a cloud based RBS in order to notify users with insights that inform them of their progress towards a healthy lifestyle. The social aspect of the application allows building rules that incorporate data from friends and people with similar characteristics, providing more interesting insights.
Specifically, movement and sleep data is retrieved from the sensor device via the phone; this data is then integrated with dietary and geolocation data stored on the phone, and then aggregated with other user’s data on the cloud. This talk describes how Jawbone implemented a cloud based RBS in order to notify users with insights that inform them of their progress towards a healthy lifestyle. The social aspect of the application allows building rules that incorporate data from friends and people with similar characteristics, providing more interesting insights.
