Indoor location sensing using smartphone acoustic system: Combining acoustic and WiFi localization

Indoor localization is an important field of research for advancing robotics and providing more accurate estimations of indoor locations for users. There are many indoor localization algorithm implementations, but many of them underperform under certain environmental changes or restrictions. This research will present a way of combining already...

An Indoor Localization System for Nursing Homes Based on RSSI

Over the years, care givers in nursing homes have seen their workload gradually increase. With no end of this trend in sight, the need for smart support systems increases. Especially systems which decrease the time spent on menial tasks are valued highly, because this frees more time for high quality and personal care.<br/>To achieve this, Momo...

Localization Algorithms for Conference Systems

This report details the design and implementation of a subsystem within a localization system designed for the Bosch DICENTIS wireless conference system. The goal of this localization system is to determine the location of individual units. These units each contain a microphone and a loudspeaker and are used by the participants at a conference....

Acoustic TDOA Propagation Time Estimation

In this report, the design of a subsystem within a localization system for the Bosch DICENTIS wireless conference system will be presented. The localization system will function by means of using acoustic Time Difference Of Arrival (TDOA) measurements to determine the location of each unit connected to the DICENTIS conference system. By unit,...

Sound localization using an array of Acoustic Vector Sensors: Mainstation data processing

In this thesis five different Direction Of Arrival algorithms will be developed for use with Microflown's Acoustic Vector Sensors, which will determine the direction an acoustic signal originates from. These algorithms will run on a main-station that will remotely receive data from an array of AVSs. The performance of these algorithms is...

Swarm robot localization from noisy distance measurements

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Implementation of Indoor Localization using Signal of Opportunity on Android™

In this work an implementation of a newly proposed indoor localization algorithm is described. The new algorithm is based on acoustic signals that are readily available in the environment and not intended for this purpose, called "signals of opportunity". The proposed algorithm is intended to be implemented on mobile devices running the Android™...