Energy-aware adaptation for mobile applications
ACM SIGOPS Operating Systems Review
A Programming Interface for Application-Aware Adaptation in Mobile Computing
MLICS '95 Proceedings of the 2nd Symposium on Mobile and Location-Independent Computing
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Sampling Frequency, Signal Resolution and the Accuracy of Wearable Context Recognition Systems
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Tactics-based remote execution for mobile computing
Proceedings of the 1st international conference on Mobile systems, applications and services
IEEE Transactions on Pattern Analysis and Machine Intelligence
Trading off Prediction Accuracy and Power Consumption for Context-Aware Wearable Computing
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Predictive Resource Management for Wearable Computing
Proceedings of the 1st international conference on Mobile systems, applications and services
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
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
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
EnTracked: energy-efficient robust position tracking for mobile devices
Proceedings of the 7th international conference on Mobile systems, applications, and services
Determining transportation mode on mobile phones
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
uWave: Accelerometer-based personalized gesture recognition and its applications
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
A survey of mobile phone sensing
IEEE Communications Magazine
The case for cloud-enabled mobile sensing services
Proceedings of the first edition of the MCC workshop on Mobile cloud computing
Who is here: location aware face recognition
Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
SWAN-song: a flexible context expression language for smartphones
Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
IODetector: a generic service for indoor outdoor detection
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
SymPhoney: a coordinated sensing flow execution engine for concurrent mobile sensing applications
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
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
Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
effSense: energy-efficient and cost-effective data uploading in mobile crowdsensing
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
Exploiting processor heterogeneity for energy efficient context inference on mobile phones
Proceedings of the Workshop on Power-Aware Computing and Systems
Hi-index | 0.00 |
Sensor convergence on the mobile phone is spawning a broad base of new and interesting mobile applications. As applications grow in sophistication, raw sensor readings often require classification into more useful application-specific high-level data. For example, GPS readings can be classified as running, walking or biking. Unfortunately, traditional classifiers are not built for the challenges of mobile systems: energy, latency, and the dynamics of mobile. Kobe is a tool that aids mobile classifier development. With the help of a SQL-like programming interface, Kobe performs profiling and optimization of classifiers to achieve an optimal energy-latency-accuracy tradeoff. We show through experimentation on five real scenarios, classifiers on Kobe exhibit tight utilization of available resources. For comparable levels of accuracy traditional classifiers, which do not account for resources, suffer between 66% and 176% longer latencies and use between 31% and 330% more energy. From the experience of using Kobe to prototype two new applications, we observe that Kobe enables easier development of mobile sensing and classification apps.