Automatic Mobile Device Pairing via Integrated Microphones
Name
Jakob Mass
Abstract
This thesis proposes a method for using integrated mobile device sensor data to gain information about users' social context. In-device microphones are utilized to determine which users are co-located (for example, participating in a business meeting). This is achieved by clustering the sensor data at a remote server which also notifies the co-located devices of each others' existance and provides instructions on how to communicate with one another using Bluetooth technology. The work contributes a description of an entire implementation for such a framework. Test results show an accuracy of 75% in recognizing user co-location.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Satish Narayana Srirama, Huber Flores
Defence year
2014