[Solomonov Seminar] 281. Solomonov seminar

[Marko Grobelnik]

Jutri v sredo, 27. septembra 2017, bo ob 12:00 v Oranzni predavalnici 
IJS 281. Solomonov seminar. Predavalnica je v drugem nadstropju glavne 
stavbe IJS na Jamovi 39. Posnetki preteklih seminarjev so na 
http://videolectures.net/solomon/

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Juan Antonio Alvarez, University of Seville

Title: Deep learning for activity recognition

Abstract:
Human activity recognition (HAR) plays an important role in people’s 
daily life by learning and identifying high-level knowledge about human 
activity from raw sensor inputs. Conventional pattern recognition 
approaches have made tremendous progress on HAR tasks by adopting 
machine learning algorithms such as decision tree, random forest or 
support vector machine, but the fast development and advancement of deep 
learning have overpass the accuracy of traditional machine learning 
results. This seminar is focused on Deep learning applied to HAR using 
wearable sensors. Current architectures used and how to implement them 
for achieving good results will be explained. Limitations and new 
challenges will be also discussed.