Pedestrian Stride-Length Estimation Based on Bidirectional LSTM Network
Author:
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9326315/9326464/09327734.pdf?arnumber=9327734
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Two-Dimensional Deep Convolutional Neural Networks for Estimating Stride Length and Velocity in Institutionalized Older Adults;IEEE Sensors Journal;2024-09-01
2. Deep Neural Network-Based Fusion Localization Using Smartphones;Sensors;2023-10-24
3. A study of the cognitive process of pedestrian avoidance behavior based on synchronous EEG and eye movement detection;Heliyon;2023-03
4. Deep-Learning-Based Step Detection and Step Length Estimation With a Handheld IMU;IEEE Sensors Journal;2022-12-15
5. EL-SLE: Efficient Learning Based Stride-Length Estimation Using a Smartphone;Sensors;2022-09-10
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