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Troster, Gerhard
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Recognizing composite daily activities from crowd-labelled social media data
Zhu Z., Blanke U., Tröster G. Pervasive and Mobile Computing 26(C): 103-120, 2016. Type: Article
Present-day activity recognition methods that get data from wearable or other types of sensors are good at detecting basic activities (walking, standing, and so on), but not complex ones (dining, being at the workplace, and so on). Thi...
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Aug 9 2016
S-SMART: a unified Bayesian framework for simultaneous semantic mapping, activity recognition, and tracking
Hardegger M., Roggen D., Calatroni A., Tröster G. ACM Transactions on Intelligent Systems and Technology 7(3): 1-28, 2016. Type: Article
Tracking activity via body-attached sensors is aimed at helping people who suffer from neurodegenerative diseases including Alzheimer’s disease and dementia, or those with some ongoing neurologic-related symptoms like memory ...
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Jul 25 2016
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