Comparison of different implementations of MFCC
Journal of Computer Science and Technology
SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
DFuse: a framework for distributed data fusion
Proceedings of the 1st international conference on Embedded networked sensor systems
Poster abstract: serial data aggregation using space-filling curves in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Medians and beyond: new aggregation techniques for sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Synopsis diffusion for robust aggregation in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Learning subjective nouns using extraction pattern bootstrapping
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
A scheme for robust distributed sensor fusion based on average consensus
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Co-training for predicting emotions with spoken dialogue data
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
Building a sensor network of mobile phones
Proceedings of the 6th international conference on Information processing in sensor networks
IEEE Pervasive Computing
N-smarts: networked suite of mobile atmospheric real-time sensors
Proceedings of the second ACM SIGCOMM workshop on Networked systems for developing regions
The Mobile Sensing Platform: An Embedded Activity Recognition System
IEEE Pervasive Computing
The Rise of People-Centric Sensing
IEEE Internet Computing
Live speaker identification in conversations
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 7th international conference on Mobile systems, applications, and services
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Proceedings of the 7th international conference on Mobile systems, applications, and services
A framework of energy efficient mobile sensing for automatic user state recognition
Proceedings of the 7th international conference on Mobile systems, applications, and services
People-centric mobile sensing networks
People-centric mobile sensing networks
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Discovering semantically meaningful places from pervasive RF-beacons
Proceedings of the 11th international conference on Ubiquitous computing
Unsupervised speaker recognition based on competition between self-organizing maps
IEEE Transactions on Neural Networks
EyePhone: activating mobile phones with your eyes
Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds
Extracting social and community intelligence from digital footprints: an emerging research area
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
ErdOS: achieving energy savings in mobile OS
MobiArch '11 Proceedings of the sixth international workshop on MobiArch
Scheduling for real-time mobile MapReduce systems
Proceedings of the 5th ACM international conference on Distributed event-based system
SpeakerSense: energy efficient unobtrusive speaker identification on mobile phones
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Pervasive sensing to model political opinions in face-to-face networks
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Tapping into the Vibe of the city using VibN, a continuous sensing application for smartphones
Proceedings of 1st international symposium on From digital footprints to social and community intelligence
SiFi: exploiting VoIP silence for WiFi energy savings insmart phones
Proceedings of the 13th international conference on Ubiquitous computing
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
PBN: towards practical activity recognition using smartphone-based body sensor networks
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Poster: Enhanced collaborative sensing scheme for user activity recognition
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Pressentials: a flexible middleware for presence-enabled applications
IPTcomm '11 Proceedings of the 5th International Conference on Principles, Systems and Applications of IP Telecommunications
MaskIt: privately releasing user context streams for personalized mobile applications
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
CoMon: cooperative ambience monitoring platform with continuity and benefit awareness
Proceedings of the 10th international conference on Mobile systems, applications, and services
Medusa: a programming framework for crowd-sensing applications
Proceedings of the 10th international conference on Mobile systems, applications, and services
Vision: mClouds - computing on clouds of mobile devices
Proceedings of the third ACM workshop on Mobile cloud computing and services
The case for cloud-enabled mobile sensing services
Proceedings of the first edition of the MCC workshop on Mobile cloud computing
Improving energy efficiency of personal sensing applications with heterogeneous multi-processors
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Helping mobile apps bootstrap with fewer users
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Privacy-aware personalization for mobile advertising
Proceedings of the 2012 ACM conference on Computer and communications security
Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
Cloud-enabled privacy-preserving collaborative learning for mobile sensing
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Low cost crowd counting using audio tones
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Using RFID tags as reference for phone location and orientation in daily life
Proceedings of the 4th Augmented Human International Conference
Spartacus: spatially-aware interaction for mobile devices through energy-efficient audio sensing
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
NuActiv: recognizing unseen new activities using semantic attribute-based learning
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Auditeur: a mobile-cloud service platform for acoustic event detection on smartphones
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
SocioPhone: everyday face-to-face interaction monitoring platform using multi-phone sensor fusion
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Crowd++: unsupervised speaker count with smartphones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
MyConverse: recognising and visualising personal conversations using smartphones
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
ConferenceSense: monitoring of public events using phone sensors
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
From the internet of things to embedded intelligence
World Wide Web
SocialWeaver: collaborative inference of human conversation networks using smartphones
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
CoSense: a collaborative sensing platform for mobile devices
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Local business ambience characterization through mobile audio sensing
Proceedings of the 23rd international conference on World wide web
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We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on mobile phones. Darwin advances mobile phone sensing through the deployment of efficient but sophisticated machine learning techniques specifically designed to run directly on sensor-enabled mobile phones (i.e., smartphones). Darwin tackles three key sensing and inference challenges that are barriers to mass-scale adoption of mobile phone sensing applications: (i) the human-burden of training classifiers, (ii) the ability to perform reliably in different environments (e.g., indoor, outdoor) and (iii) the ability to scale to a large number of phones without jeopardizing the "phone experience" (e.g., usability and battery lifetime). Darwin is a collaborative reasoning framework built on three concepts: classifier/model evolution, model pooling, and collaborative inference. To the best of our knowledge Darwin is the first system that applies distributed machine learning techniques and collaborative inference concepts to mobile phones. We implement the Darwin system on the Nokia N97 and Apple iPhone. While Darwin represents a general framework applicable to a wide variety of emerging mobile sensing applications, we implement a speaker recognition application and an augmented reality application to evaluate the benefits of Darwin. We show experimental results from eight individuals carrying Nokia N97s and demonstrate that Darwin improves the reliability and scalability of the proof-of-concept speaker recognition application without additional burden to users.