Human Activity Recognition Challenge

By Atiqur Rahman Ahad

Book Overview

Chapter 1. Summary of the Cooking Activity Recognition Challenge.- Chapter 2. Activity Recognition from Skeleton and Acceleration Data Using CNN and GCN.- Chapter 3. Let's not make it complicated - Using only LightGBM and Naive Bayes for macro and micro activity recognition from a small dataset.- Chapter 4. Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data.- Chapter 5. SCAR-Net: Scalable ConvNet for Activity Recognition with multi-modal Sensor Data.- Chapter 6. Multi-Sampling Classifiers for the Cooking Activity Recognition Challenge.- Chapter 7. Multi-class Multi-label Classification for Cooking Activity Recognition.- Chapter 8. Cooking Activity Recognition with Convolutional LSTM using Multi-label Loss Function and Majority Vote.- Chapter 9. Identification of Cooking Preparation Using Motion Capture Data: A Submission to the Cooking Activity Recognition Challenge.- Chapter 10. Cooking Activity Recognition with Varying Sampling Rates using Deep Convolutional GRU Framework.

• Format: Hardcover
• Language: English
• ISBN: 9811582688
• ISBN13: 9789811582684
• Release Date: November 2020
• Publisher: Springer
• Length: 126 Pages
• Weight: 0.83 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"