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Inferring travel purpose from crowd-augmented human mobility data., , and . Urb-IoT, page 44-49. ICST, (2014)A Wearable Assistant for Gait Training for Parkinson's Disease with Freezing of Gait in Out-of-the-Lab Environments., , , , , , and . TiiS, 5 (1): 5:1-5:31 (2015)Engineers meet clinicians: augmenting Parkinson's disease patients to gather information for gait rehabilitation., , , , , and . AH, page 124-127. ACM, (2013)Combining crowd-generated media and personal data: semi-supervised learning for context recognition., , , and . PDM@ACM Multimedia, page 35-38. ACM, (2013)I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns., , and . ICCV Workshops, page 1209-1214. IEEE Computer Society, (2011)All for one or one for all? Combining heterogeneous features for activity spotting., , , , , and . PerCom Workshops, page 18-24. IEEE Computer Society, (2010)Scalable Recognition of Daily Activities with Wearable Sensors., , and . LoCA, volume 4718 of Lecture Notes in Computer Science, page 50-67. Springer, (2007)Capturing crowd dynamics at large scale events using participatory GPS-localization., , , and . ISSNIP, page 1-7. IEEE, (2014)Crowdsourced pedestrian map construction for short-term city-scale events., , , and . Urb-IoT, page 25-31. ICST, (2014)South by South-East or Sitting at the Desk: Can Orientation be a Place?, , and . ISWC, page 43-46. IEEE Computer Society, (2011)