Multimodal Adaptive Identity-Recognition Algorithm Fused with Gait Perception
Identity-recognition technologies require assistive equipment, whereas they are poor in recognition accuracy and expensive. To overcome this deficiency, this paper proposes several gait feature identification algorithms. First, in combination with the collected gait information of individuals from t...
Saved in:
Main Authors: | Changjie Wang, Zhihua Li, Benjamin Sarpong |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2021-12-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2021.9020006 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Gait Recognition Based on GaitSet and Multimodal Fusion
by: Xiling Shi, et al.
Published: (2025-01-01) -
IoT-based approach to multimodal music emotion recognition
by: Hanbing Zhao, et al.
Published: (2025-02-01) -
A Disentangled Representation-Based Multimodal Fusion Framework Integrating Pathomics and Radiomics for KRAS Mutation Detection in Colorectal Cancer
by: Zhilong Lv, et al.
Published: (2024-09-01) -
TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis
by: Junsong Fu, et al.
Published: (2025-01-01) -
Brain-inspired multimodal motion and fine-grained action recognition
by: Yuening Li, et al.
Published: (2025-01-01)