Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies
Latest Publications

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(FIVE YEARS 10)

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Published By Springer Singapore

9789811582684, 9789811582691

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_4 ◽

2020 ◽

pp. 39-53

Author(s):

Swapnil Sayan Saha ◽

Sandeep Singh Sandha ◽

Mani Srivastava

Keyword(s):

Missing Data ◽

Activity Recognition ◽

Complex Activity ◽

Bidirectional Lstm

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Activity Recognition from Skeleton and Acceleration Data Using CNN and GCN

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_2 ◽

2020 ◽

pp. 15-25

Author(s):

Donghui Mao ◽

Xinyu Lin ◽

Yiyun Liu ◽

Mingrui Xu ◽

Guoxiang Wang ◽

...

Keyword(s):

Activity Recognition ◽

Acceleration Data

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Multi-sampling Classifiers for the Cooking Activity Recognition Challenge

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_6 ◽

2020 ◽

pp. 65-74

Author(s):

Ninnart Fuengfusin ◽

Hakaru Tamukoh

Keyword(s):

Activity Recognition

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Cooking Activity Recognition with Varying Sampling Rates Using Deep Convolutional GRU Framework

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_10 ◽

2020 ◽

pp. 115-126

Author(s):

Md. Sadman Siraj ◽

Omar Shahid ◽

Md Atiqur Rahman Ahad

Keyword(s):

Activity Recognition

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Identification of Cooking Preparation Using Motion Capture Data: A Submission to the Cooking Activity Recognition Challenge

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_9 ◽

2020 ◽

pp. 103-113

Author(s):

Clément Picard ◽

Vito Janko ◽

Nina Reščič ◽

Martin Gjoreski ◽

Mitja Luštrek

Keyword(s):

Motion Capture ◽

Activity Recognition ◽

Motion Capture Data

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Multi-class Multi-label Classification for Cooking Activity Recognition

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_7 ◽

2020 ◽

pp. 75-89

Author(s):

Shkurta Gashi ◽

Elena Di Lascio ◽

Silvia Santini

Keyword(s):

Activity Recognition

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Summary of the Cooking Activity Recognition Challenge

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_1 ◽

2020 ◽

pp. 1-13

Author(s):

Sayeda Shamma Alia ◽

Paula Lago ◽

Shingo Takeda ◽

Kohei Adachi ◽

Brahim Benaissa ◽

...

Keyword(s):

Activity Recognition

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Cooking Activity Recognition with Convolutional LSTM Using Multi-label Loss Function and Majority Vote

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_8 ◽

2020 ◽

pp. 91-101

Author(s):

Atsuhiro Fujii ◽

Daiki Kajiwara ◽

Kazuya Murao

Keyword(s):

Activity Recognition ◽

Loss Function ◽

Majority Vote ◽

Convolutional Lstm

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SCAR-Net: Scalable ConvNet for Activity Recognition with Multimodal Sensor Data

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_5 ◽

2020 ◽

pp. 55-64

Author(s):

Zabir Al Nazi

Keyword(s):

Activity Recognition ◽

Sensor Data

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Let’s Not Make It Complicated—Using Only LightGBM and Naive Bayes for Macro- and Micro-Activity Recognition from a Small Dataset

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-15-8269-1_3 ◽

2020 ◽

pp. 27-37

Author(s):

Ryoichi Kojima ◽

Roberto Legaspi ◽

Kiyohito Yoshihara ◽

Shinya Wada

Keyword(s):

Activity Recognition ◽

Naive Bayes ◽

Naïve Bayes ◽

Small Dataset

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Human Activity Recognition Challenge - Smart Innovation, Systems and TechnologiesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data

Activity Recognition from Skeleton and Acceleration Data Using CNN and GCN

Multi-sampling Classifiers for the Cooking Activity Recognition Challenge

Cooking Activity Recognition with Varying Sampling Rates Using Deep Convolutional GRU Framework

Identification of Cooking Preparation Using Motion Capture Data: A Submission to the Cooking Activity Recognition Challenge

Multi-class Multi-label Classification for Cooking Activity Recognition

Summary of the Cooking Activity Recognition Challenge

Cooking Activity Recognition with Convolutional LSTM Using Multi-label Loss Function and Majority Vote

SCAR-Net: Scalable ConvNet for Activity Recognition with Multimodal Sensor Data

Let’s Not Make It Complicated—Using Only LightGBM and Naive Bayes for Macro- and Micro-Activity Recognition from a Small Dataset

Human Activity Recognition Challenge - Smart Innovation, Systems and Technologies
Latest Publications