Robust human intensity-varying activity recognition using Stochastic Approximation in wearable sensors

Keyphrases

• Stochastic Approximation 100%
• Wearable Sensors 100%
• Activity Recognition 100%
• Intensity Level 100%
• Human Activities 33%
• Clustered Data 33%
• Activity-dependent 33%
• Clustering Methods 33%
• High Dimension 33%
• Classification Scheme 33%
• Independent Activity 33%
• K-means 33%
• Clustering Algorithm 33%
• Activity-based Model 33%
• Data Representation 33%
• Metabolic Equivalent 33%
• Underlying Activity 33%
• Human Context 33%
• Gaussian Mixture Model 33%
• Approximation Framework 33%
• Class Label 33%
• Robust Stochastic Approximation 33%
• Context-awareness 33%
• Inertial Sensors 33%
• Intensity Independent 33%
• High Clustering 33%

Computer Science

• Intensity Level 100%
• Activity Recognition 100%
• Stochastic Approximation 100%
• Approximation Algorithms 33%
• Clustering Technique 33%
• Clustered Data 33%
• High Dimensionality 33%
• High Clustering 33%
• context awareness 33%
• Clustering Algorithm 33%
• Classification Scheme 33%
• Data Representation 33%
• Gaussian Mixture Model 33%