Proceedings ArticleDOI
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Hong Lu,Wei Pan,Nicholas D. Lane,Tanzeem Choudhury,Andrew T. Campbell +4 more
- pp 165-178
TLDR
This paper proposes SoundSense, a scalable framework for modeling sound events on mobile phones that represents the first general purpose sound sensing system specifically designed to work on resource limited phones and demonstrates that SoundSense is capable of recognizing meaningful sound events that occur in users' everyday lives.Abstract:
Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sensing applications. Perhaps the most ubiquitous and unexploited sensor on mobile phones is the microphone - a powerful sensor that is capable of making sophisticated inferences about human activity, location, and social events from sound. In this paper, we exploit this untapped sensor not in the context of human communications but as an enabler of new sensing applications. We propose SoundSense, a scalable framework for modeling sound events on mobile phones. SoundSense is implemented on the Apple iPhone and represents the first general purpose sound sensing system specifically designed to work on resource limited phones. The architecture and algorithms are designed for scalability and Soundsense uses a combination of supervised and unsupervised learning techniques to classify both general sound types (e.g., music, voice) and discover novel sound events specific to individual users. The system runs solely on the mobile phone with no back-end interactions. Through implementation and evaluation of two proof of concept people-centric sensing applications, we demostrate that SoundSense is capable of recognizing meaningful sound events that occur in users' everyday lives.read more
Citations
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Dissertation
Studying user behavior through a participatory sensing framework in an urban context
TL;DR: The design and implementation of a multi-purpose participatory sensing framework (Citizense) based on a list of requirements extracted from the literature enables ordinary users to create sensing campaigns and collect various types of data.
Journal ArticleDOI
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Journal ArticleDOI
Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events
TL;DR: A novel simulation to real QA (Sim2RealQA) framework is proposed that completely trains a QA model with QA datasets produced in a life simulator and is used for solving real-word QA problems without answer labels.
Proceedings ArticleDOI
Gunshot Classification and Localization System using Artificial Neural Network (ANN)
TL;DR: The purpose of the study is to aid soldiers in times of combat to avoid relatively large unpredictable loss and to safeguard the authors' territories from unconscious attacks by developing a gunshot classification and localization system.
Proceedings ArticleDOI
Not a tile out of place: Toward creating context-dependent user interfaces on smartglasses
Isabelle Pecci,Benoît Martin,Imed Kacem,Imed Maamria,Sébastien Faye,Nicolas Louveton,Gabriela Gheorghe,Thomas Engel +7 more
TL;DR: A data representation model is proposed to combine applications and services that match user activities and contexts and it is suggested that combining those two aspects can open the way to personalized services for the end user, creating new ways of interacting with applications and devices.
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