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» Activity recognition using cell phone accelerometers
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ISWC
2005
IEEE
14 years 1 months ago
Using Ultrasonic Hand Tracking to Augment Motion Analysis Based Recognition of Manipulative Gestures
The paper demonstrates how ultrasonic hand tracking can be used to improve the performance of a wearable, accelerometer and gyroscope based activity recognition system. Specifica...
Georg Ogris, Thomas Stiefmeier, Holger Junker, Pau...
NAACL
2003
13 years 8 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
CHI
2007
ACM
14 years 7 months ago
Devices as interactive physical containers: the shoogle system
Shoogle is a novel interface for sensing data within a mobile device, such as presence and properties of text messages or remaining resources. It is based around active exploratio...
John Williamson, Roderick Murray-Smith, Stephen Hu...
IFIP12
2007
13 years 9 months ago
Patient Fall Detection using Support Vector Machines
This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accel...
Charalampos Doukas, Ilias Maglogiannis, Philippos ...
MOBISYS
2009
ACM
14 years 8 months ago
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sen...
Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudh...