The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Time synchronization in ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
A framework for the automated generation of power-efficient classifiers for embedded sensor nodes
Proceedings of the 5th international conference on Embedded networked sensor systems
Using wearable computing solutions in real-world applications
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 6th international conference on Mobile systems, applications, and services
Rapid Prototyping of Activity Recognition Applications
IEEE Pervasive Computing
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
Proceedings of the 6th ACM conference on Embedded network sensor systems
Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
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
VTrack: accurate, energy-aware road traffic delay estimation using mobile phones
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Privacy wizards for social networking sites
Proceedings of the 19th international conference on World wide web
CenceMe: injecting sensing presence into social networking applications
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
Environmental sound recognition by measuring significant changes in the spectral entropy
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
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Ubiquitous computing applications are required to provide distraction-free task support by reacting on different context characteristics. With the wide-spread use of personal mobile devices, many users are in possession of a powerful platform for context recognition. This, in theory, should allow the recognition of a number of characteristics which a user experiences during the course of daily routine. However, in order to be suitable for personal mobile devices, existing systems are considering a small and static set of characteristics for a particular application. This enables the developers to manually optimize their systems. Yet, it limits the applicability of the systems to narrowly defined scenarios. We argue that context recognition systems must take heterogeneity into account in order to be practically applicable to ubiquitous computing on a large scale. Specifically, future systems must find ways to accommodate the heterogeneity of tasks and users which results in three novel research challenges, namely the dynamic integration, privacy-preserving cooperation and automatic personalization of context recognition systems. In this paper, we motivate these challenges and outline ways to address them.