P. Nurmi

Publications
Influence

Accelerometer-based transportation mode detection on smartphones

S. Hemminki, P. Nurmi, Sasu Tarkoma
Computer Science
SenSys '13
11 November 2013

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

A Generic Large Scale Simulator for Ubiquitous Computing

Miquel Martin, P. Nurmi
Computer Science
Third Annual International Conference on Mobile…
2006

The complexity associated to gathering and processing contextual data makes testing mobile context-aware applications and services difficult. Expand

Mixture Models

P. Nurmi
2008

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, mixture… Expand

Comparing and fusing different sensor modalities for relay attack resistance in Zero-Interaction Authentication

H. X. Truong, Xiang Gao, B. Shrestha, N. Saxena, N. Asokan, P. Nurmi
Computer Science
IEEE International Conference on Pervasive…
24 March 2014

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

Moving Object Databases

P. Nurmi, S. Bhattacharya
Computer Science
Encyclopedia of GIS
2008

Design challenges in motivating change for sustainable urban mobility

S. Gabrielli, Paula Forbes, +7 authors G. Jacucci
Sociology, Computer Science
Comput. Hum. Behav.
1 December 2014

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

Using unlabeled data in a sparse-coding framework for human activity recognition

S. Bhattacharya, P. Nurmi, N. Hammerla, T. Plötz
Computer Science, Mathematics
Pervasive Mob. Comput.
25 December 2013

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

Identifying meaningful locations

P. Nurmi, J. Koolwaaij
Computer Science
Third Annual International Conference on Mobile…
17 July 2006

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

BeTelGeuse: A Platform for Gathering and Processing Situational Data

J. Kukkonen, Eemil Lagerspetz, P. Nurmi, M. Andersson
Computer Science
IEEE Pervasive Computing
1 April 2009

BeTelGeuse is an extensible data collection platform for mobile devices, which also automatically infers higher level context from sensor data. Expand

Towards a Context Management Framework for MobiLife

P. Floréen, M. Przybilski, +8 authors SianLun Lau
2005

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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