DocumentCode :
169024
Title :
Diary-Like Long-Term Activity Recognition: Touch or Voice Interaction?
Author :
Scholl, Philipp M. ; Borazio, Marko ; Jansch, Martin ; Van Laerhoven, Kristof
Author_Institution :
Embedded Sensing Syst., Tech. Univ., Darmstadt, Germany
fYear :
2014
fDate :
16-19 June 2014
Firstpage :
42
Lastpage :
45
Abstract :
The experience sampling methodology is a well known tool in psychology to asses a subject´s condition. Regularly or whenever an important event happens the subject stops whatever he is currently involved in and jots down his current perceptions, experience, and activities, which in turn form the basis of these diary studies. Such methods are also widely in use for gathering labelled data for wearable long-term activity recognition, where subjects are asked to note conducted activities. We present the design of a personal electronic diary for daily activities, including user interfaces on a PC, Smartphone, and Google Glass. A 23-participant structured in-field study covering seven different activities highlights the difference of mobile touch interaction and ubiquitous voice recognition for tracking activities.
Keywords :
body sensor networks; medical computing; smart phones; speech; speech recognition; touch (physiological); touch sensitive screens; ubiquitous computing; user interfaces; Google glass; PC; diary-like long-term activity recognition; experience sampling methodology; mobile touch interaction; personal electronic diary; psychology; smartphone; ubiquitous voice recognition; user interfaces; wearable long-term activity recognition; Glass; Google; Manuals; Mobile communication; Mobile handsets; Speech recognition; Wearable sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable and Implantable Body Sensor Networks Workshops (BSN Workshops), 2014 11th International Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4799-6135-1
Type :
conf
DOI :
10.1109/BSN.Workshops.2014.12
Filename :
6970625
Link To Document :
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