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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

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 hel...

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Bibliographic Details
Other Authors: Li, Xiaoli (Editor), Wu, Min (Editor), Chen, Zhenghua (Editor), Zhang, Le (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2021, 2021
Edition:1st ed. 2021
Series:Communications in Computer and Information Science
Subjects:
User Interfaces (computer Systems)
Computer Vision
Artificial Intelligence
Application Software
Computer And Information Systems Applications
Special Purpose And Application-based Systems
User Interfaces And Human Computer Interaction
Automated Pattern Recognition
Computers, Special Purpose
Human-computer Interaction
Pattern Recognition Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

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