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Step Detection using SVM on NURVV Trackers
Didier Lopes
,
Grant Trewartha
SHLS Allied Health Professions
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Dive into the research topics of 'Step Detection using SVM on NURVV Trackers'. Together they form a unique fingerprint.
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Keyphrases
Support Vector Machine
100%
Inertial Measurement Unit
100%
Tracker
100%
Step Detection
100%
Machine Learning Approach
50%
Support Vector Machine Model
50%
Shoes
25%
Acceleration Speed
25%
Embedded Systems
25%
Optimized Model
25%
Principal Coordinate Analysis (PCoA)
25%
Signal Processing
25%
Signal Processing Techniques
25%
Ensemble Support Vector Machine
25%
Unseen
25%
Running Activity
25%
Running Speed
25%
Single Model
25%
Learning Problems
25%
Exploratory Data Analysis
25%
Supervised Learning
25%
Wearable Devices
25%
Foot Contact
25%
Angular Speed
25%
Human Running
25%
Hard Voting
25%
Computer Science
Support Vector Machine
100%
Measurement Unit
100%
Machine Learning Approach
50%
Postprocessing
25%
Embedded Systems
25%
Interpretability
25%
Component Analysis
25%
Principal Components
25%
Learning Problem
25%
Supervised Learning
25%
Wearable Device
25%
Processing Strategy
25%
Mathematics
Support Vector Machine
100%
Measurement Unit
100%
Signal Processing
50%
Exploratory Data Analysis
25%
Test Data
25%
Postprocessing
25%
Interpretability
25%
Principal Component Analysis
25%