Human Activity Recognition Challenge

✍ Scribed by Md Atiqur Rahman Ahad, Paula Lago, Sozo Inoue

• Publisher: Springer Singapore;Springer
• Year: 2021
• Tongue: English
• Leaves: 133
• Series: Smart Innovation, Systems and Technologies 199
• Edition: 1st ed.
• Category: Library

✦ Synopsis

The book introduces some challenging methods and solutions to solve the human activity recognition challenge. This book highlights the challenge that will lead the researchers in academia and industry to move further related to human activity recognition and behavior analysis, concentrating on cooking challenge. Current activity recognition systems focus on recognizing either the complex label (macro-activity) or the small steps (micro-activities) but their combined recognition is critical for analysis like the challenge proposed in this book. It has 10 chapters from 13 institutes and 8 countries (Japan, USA, Switzerland, France, Slovenia, China, Bangladesh, and Columbia).

✦ Table of Contents

Front Matter ....Pages i-xiv
Summary of the Cooking Activity Recognition Challenge (Sayeda Shamma Alia, Paula Lago, Shingo Takeda, Kohei Adachi, Brahim Benaissa, Md Atiqur Rahman Ahad et al.)....Pages 1-13
Activity Recognition from Skeleton and Acceleration Data Using CNN and GCN (Donghui Mao, Xinyu Lin, Yiyun Liu, Mingrui Xu, Guoxiang Wang, Jiaming Chen et al.)....Pages 15-25
Let’s Not Make It Complicated—Using Only LightGBM and Naive Bayes for Macro- and Micro-Activity Recognition from a Small Dataset (Ryoichi Kojima, Roberto Legaspi, Kiyohito Yoshihara, Shinya Wada)....Pages 27-37
Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data (Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava)....Pages 39-53
SCAR-Net: Scalable ConvNet for Activity Recognition with Multimodal Sensor Data (Zabir Al Nazi)....Pages 55-64
Multi-sampling Classifiers for the Cooking Activity Recognition Challenge (Ninnart Fuengfusin, Hakaru Tamukoh)....Pages 65-74
Multi-class Multi-label Classification for Cooking Activity Recognition (Shkurta Gashi, Elena Di Lascio, Silvia Santini)....Pages 75-89
Cooking Activity Recognition with Convolutional LSTM Using Multi-label Loss Function and Majority Vote (Atsuhiro Fujii, Daiki Kajiwara, Kazuya Murao)....Pages 91-101
Identification of Cooking Preparation Using Motion Capture Data: A Submission to the Cooking Activity Recognition Challenge (Clément Picard, Vito Janko, Nina Reščič, Martin Gjoreski, Mitja Luštrek)....Pages 103-113
Cooking Activity Recognition with Varying Sampling Rates Using Deep Convolutional GRU Framework (Md. Sadman Siraj, Omar Shahid, Md Atiqur Rahman Ahad)....Pages 115-126

✦ Subjects

Engineering; Computational Intelligence; Health Informatics; Signal, Image and Speech Processing