Deep Learning for Human Activity Recognition Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings /
Deep Learning for Human Activity Recognition Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings / [electronic resource] :
edited by Xiaoli Li, Min Wu, Zhenghua Chen, Le Zhang.
- 1st ed. 2021.
- XII, 139 p. 51 illus., 49 illus. in color. online resource.
- Communications in Computer and Information Science, 1370 1865-0937 ; .
- Communications in Computer and Information Science, 1370 .
Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark -- Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks -- Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition -- Personalization Models for Human Activity Recognition With Distribution Matching-Based Metrics -- Resource-Constrained Federated Learning with Heterogeneous Labels and Models for Human Activity Recognition -- ARID: A New Dataset for Recognizing Action in the Dark -- Single Run Action Detector over Video Stream - A Privacy Preserving Approach -- Efficacy of Model Fine-Tuning for Personalized Dynamic Gesture Recognition -- Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes -- Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network.
This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more. .
9789811605758
10.1007/978-981-16-0575-8 doi
Artificial intelligence.
Pattern recognition systems.
User interfaces (Computer systems).
Human-computer interaction.
Computer vision.
Application software.
Computers, Special purpose.
Artificial Intelligence.
Automated Pattern Recognition.
User Interfaces and Human Computer Interaction.
Computer Vision.
Computer and Information Systems Applications.
Special Purpose and Application-Based Systems.
Q334-342 TA347.A78
006.3
Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark -- Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks -- Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition -- Personalization Models for Human Activity Recognition With Distribution Matching-Based Metrics -- Resource-Constrained Federated Learning with Heterogeneous Labels and Models for Human Activity Recognition -- ARID: A New Dataset for Recognizing Action in the Dark -- Single Run Action Detector over Video Stream - A Privacy Preserving Approach -- Efficacy of Model Fine-Tuning for Personalized Dynamic Gesture Recognition -- Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes -- Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network.
This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more. .
9789811605758
10.1007/978-981-16-0575-8 doi
Artificial intelligence.
Pattern recognition systems.
User interfaces (Computer systems).
Human-computer interaction.
Computer vision.
Application software.
Computers, Special purpose.
Artificial Intelligence.
Automated Pattern Recognition.
User Interfaces and Human Computer Interaction.
Computer Vision.
Computer and Information Systems Applications.
Special Purpose and Application-Based Systems.
Q334-342 TA347.A78
006.3