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Wearable Socio-Biosensors For Measuring Bio-Behavioral, Social and Environmental Data

Detailed Technology Description
Dr. Kiju Lee at CWRU has developed a wearable socio-biosensor device that can be used for the simultaneous or real-time measurement of bio-behavioral data, social data, physiological or other environmental data.
*Abstract

Dr. Kiju Lee at CWRU has developed a wearable socio-biosensor device that can be used for the simultaneous or real-time measurement of bio-behavioral data, social data, and/or environmental data related to a subject who is wearing the device.  The device may be worn by multiple subjects in a group, for instance, to employ the gathered data to assess the health impact of social interaction engaged in and by the subject wearing the device, as well as the quality of life of the subject.  The resulting socio-psychological assessment is more comprehensive, accurate and valid than traditional assessments, which are often based on self-reported data or external observation. Other physiological and environmental data simultaneously measured along with the socio-psychological data provides comprehensive health monitoring of each individual or a group of individuals.  A variety of sensors may be incorporated into the device, and a GUI (graphical user interface) may also be included for comprehensive monitoring and functionality analysis of the collected data.  The embedded sensors may also be customized. 

The addressable markets span a range of opportunities:

• Bio-behavioral data can include skin temperature, pulse, respiratory rate, and physical activity/energy expended.

• Environmental data can include temperature, humidity, barometric pressure, and noise. 

• Social data can include proximity among the users, frequency of interaction, time of interaction, duration of interaction, geographical location, and prosody; prosody may include emotional/verbal contents, and tone and pitch in voice signals.

• The subject can be an athlete, a veteran, active duty military personnel, a child, an elderly person, or a person suffering from a disease or mental impairment.

• Families or residents in a community living setting may use this technology for group health monitoring, social interactions among the users, and assessing associated health impact.

Stage of Development and Next Steps

• A physical prototype was built and tested for preliminary technical feasibility in the laboratory and around the campus area for testing individual sensors and wireless network. 

• Human subject evaluation on university students is planned for this fall. 

• Human subject evaluation involving older residents in a continuing care retirement community will begin in January 2017. 

• Technical refinement and repackaging is in process.

Patent Application 15/099,093 has been published as US 2016/0302733 A1.

Country/Region
USA

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