Difference between revisions of "HMC2"

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|ContactInformation=Nicholas Wickström
 
|ContactInformation=Nicholas Wickström
 
|ShortDescription=Human Motion, Categorization and Characterization
 
|ShortDescription=Human Motion, Categorization and Characterization
|Description=The outcome of the research in this project will be of multiple types:
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|Description=The objective is to design wearable instruments/devices that can characterize and classify human motion. The devices shall be small and “non-intrusive”, similar to a step counter. We are looking at two sensor modalities: inertial sensors (e.g. accelerometers and gyros) and electrical sensors for detecting, e.g., electromyography (EMG) signals.
* Tools and algorithms, framework for analysis of accelerometer data, annotation tools to assist data collection.  
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* Data collection, controlled and validations via e.g. motion capture (gold standard).
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* Applications, e.g. consumer products, clinical analysis, products for home healthcare.
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|LogotypeFile=Hmc2 v3.png
 
|LogotypeFile=Hmc2 v3.png
 
|ProjectResponsible=nicholas.wickstrom@hh.se
 
|ProjectResponsible=nicholas.wickstrom@hh.se

Revision as of 09:15, 19 May 2014


Human Motion, Categorization and Characterization

HMC2
Project start:
1 January 2012
Project end:
31 December 2015
More info (PDF):
pdf
Contact:
Nicholas Wickström
Application Area:
Health Technology

Involved internal personnel
Involved external personnel
Involved partners

Abstract

The objective is to design wearable instruments/devices that can characterize and classify human motion. The devices shall be small and “non-intrusive”, similar to a step counter. We are looking at two sensor modalities: inertial sensors (e.g. accelerometers and gyros) and electrical sensors for detecting, e.g., electromyography (EMG) signals.