• Publications
  • Influence
Accelerometer-based transportation mode detection on smartphones
TLDR
We present novel accelerometer-based techniques for accurate and fine-grained detection of transportation modes on smartphones, which are able to improve generalization and robustness of the detection. Expand
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A Generic Large Scale Simulator for Ubiquitous Computing
TLDR
The complexity associated to gathering and processing contextual data makes testing mobile context-aware applications and services difficult. Expand
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Mixture Models
Mixture models are an interesting and flexible model family. The different uses of mixture models include for example generative component models, clustering and density estimation. Moreover, mixtureExpand
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Comparing and fusing different sensor modalities for relay attack resistance in Zero-Interaction Authentication
TLDR
We systematically investigate the performance of different sensor modalities for co-presence detection with respect to a standard Dolev-Yao adversary and show that WiFi is better than the rest. Expand
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Moving Object Databases
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Design challenges in motivating change for sustainable urban mobility
TLDR
This paper reports lessons learnt from three parallel and complementary user studies, where motivational features for sustainable urban mobility, including social influence strategies delivered through social media, were prototyped, tested and refined. Expand
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Using unlabeled data in a sparse-coding framework for human activity recognition
TLDR
We propose a sparse-coding framework for activity recognition in ubiquitous and mobile computing that alleviates two fundamental problems of current supervised learning approaches. Expand
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Identifying meaningful locations
  • P. Nurmi, J. Koolwaaij
  • Computer Science
  • Third Annual International Conference on Mobile…
  • 17 July 2006
TLDR
We present four different algorithms for the problem of identifying places from GSM data that is enriched with GPS coordinates whenever a GPS device is available. Expand
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BeTelGeuse: A Platform for Gathering and Processing Situational Data
TLDR
BeTelGeuse is an extensible data collection platform for mobile devices, which also automatically infers higher level context from sensor data. Expand
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Towards a Context Management Framework for MobiLife
Recent advances in the field of context reasoning and in wireless information devices, which allow mobile access and provide a multitude of context information, have enabled the provision of new,Expand
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