Sensing and Modeling Human Networks using the Sociometer
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Hidden Markov model-based speech emotion recognition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones
Proceedings of the 5th international conference on Mobile systems, applications and services
IEEE Pervasive Computing
Towards the automated social analysis of situated speech data
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Honest Signals: How They Shape Our World
Honest Signals: How They Shape Our World
Proceedings of the 6th ACM conference on Embedded network sensor systems
BeTelGeuse: A Platform for Gathering and Processing Situational Data
IEEE Pervasive Computing
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
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
SpeakerSense: energy efficient unobtrusive speaker identification on mobile phones
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
Proceedings of the 13th international conference on Ubiquitous computing
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Smart phone based systems for social psychological research: challenges and design guidelines
S3 '11 Proceedings of the 3rd ACM workshop on Wireless of the students, by the students, for the students
PBN: towards practical activity recognition using smartphone-based body sensor networks
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Crawling to improve multimodal emotion detection
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Social navigation with the collective mobile mood monitoring system
Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
Interaction design and emotional wellbeing
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Collecting big datasets of human activity one checkin at a time
Proceedings of the 4th ACM international workshop on Hot topics in planet-scale measurement
Challenges for social sensing using WiFi signals
Proceedings of the 1st ACM workshop on Mobile systems for computational social science
Using idle moments to record your health via mobile applications
Proceedings of the 1st ACM workshop on Mobile systems for computational social science
Proceedings of the 6th International Conference on Body Area Networks
Using ratings to profile your health
Proceedings of the sixth ACM conference on Recommender systems
The hidden image of the city: sensing community well-being from urban mobility
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Sense and sensibility in a pervasive world
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Improving energy efficiency of personal sensing applications with heterogeneous multi-processors
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
StressSense: detecting stress in unconstrained acoustic environments using smartphones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Discovering trustworthy social spaces
Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
Mobile social networks: state-of-the-art and a new vision
International Journal of Communication Systems
Low cost crowd counting using audio tones
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Poster abstract: a mobile-cloud service for physiological anomaly detection on smartphones
Proceedings of the 12th international conference on Information processing in sensor networks
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
MoodScope: building a mood sensor from smartphone usage patterns
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
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Contextual dissonance: design bias in sensor-based experience sampling methods
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Connecting stakeholders through context logging
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
MyConverse: recognising and visualising personal conversations using smartphones
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Speech stress assessment using physiological and psychological measures
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Robust voice activity detection for social sensing
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Ubicomp'13 sencity workshop: sensing festivals as cities
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
Sensing stress network for social coping
Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing
Smartphone sensing offloading for efficiently supporting social sensing applications
Pervasive and Mobile Computing
Personal and Ubiquitous Computing
ipShield: a framework for enforcing context-aware privacy
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
| Hi-index | 0.00 |
Today's mobile phones represent a rich and powerful computing platform, given their sensing, processing and communication capabilities. Phones are also part of the everyday life of billions of people, and therefore represent an exceptionally suitable tool for conducting social and psychological experiments in an unobtrusive way. de the ability of sensing individual emotions as well as activities, verbal and proximity interactions among members of social groups. Moreover, the system is programmable by means of a declarative language that can be used to express adaptive rules to improve power saving. We evaluate a system prototype on Nokia Symbian phones by means of several small-scale experiments aimed at testing performance in terms of accuracy and power consumption. Finally, we present the results of real deployment where we study participants emotions and interactions. We cross-validate our measurements with the results obtained through questionnaires filled by the users, and the results presented in social psychological studies using traditional methods. In particular, we show how speakers and participants' emotions can be automatically detected by means of classifiers running locally on off-the-shelf mobile phones, and how speaking and interactions can be correlated with activity and location measures.