Deep Learning for Human Activity Recognition [E-Book] : Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings / edited by Xiaoli Li, Min Wu, Zhenghua Chen, Le Zhang.
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...
Saved in:
Full text |
|
Personal Name(s): | Chen, Zhenghua, editor |
Li, Xiaoli, editor / Wu, Min, editor / Zhang, Le, editor | |
Edition: |
1st edition 2021. |
Imprint: |
Singapore :
Springer,
2021
|
Physical Description: |
XII, 139 pages 51 illustrations, 49 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789811605758 |
DOI: |
10.1007/978-981-16-0575-8 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Communications in Computer and Information Science ;
1370 |
Subject (LOC): |
- 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.