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What and Who
Title:Scalable positioning of commodity mobile devices using audio signals
Speaker:Viktor Erdélyi
coming from:Max Planck Institute for Software Systems
Speakers Bio:
Event Type:SWS Student Defense Talks - Thesis Defense
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Level:Public Audience
Date, Time and Location
Date:Thursday, 14 February 2019
Duration:90 Minutes
Building:E1 5
This thesis explores the problem of computing a position map for co-located mobile devices.

The positioning should happen in a scalable manner without requiring specialized hardware and

without requiring specialized infrastructure (except basic Wi-Fi or cellular access). At events

like meetings, talks, or conferences, a position map can aid spontaneous communication among

users based on their relative position in two ways. First, it enables users to choose message

recipients based on their relative position, which also enables the position-based distribution of

documents. Second, it enables senders to attach their position to messages, which can facilitate

interaction between speaker and audience in a lecture hall and enables the collection of feedback

based on users’ location.

In this thesis, we present Sonoloc, a mobile app and system that, by relying on acoustic

signals, allows a set of commodity smart devices to determine their relative positions. Sonoloc

can position any number of devices within acoustic range with a constant number of acoustic

signals emitted by a subset of devices. Our experimental evaluation with up to 115 devices in

real rooms shows that – despite substantial background noise – the system can locate devices

with an accuracy of tens of centimeters using no more than 15 acoustic signals.

Video Broadcast
Video Broadcast:YesTo Location:Kaiserslautern
To Building:G26To Room:111
Meeting ID:
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Maria-Louise Albrecht/MPI-KLSB, 01/31/2019 11:18 AM
Last modified:
Maria-Louise Albrecht/MPI-KLSB, 01/31/2019 11:21 AM
  • Maria-Louise Albrecht, 01/31/2019 11:21 AM -- Created document.