Shallow And Deep Learning In Footstep Recognition: A Survey-Reference-Cited by-同舟云学术

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Shallow And Deep Learning In Footstep Recognition: A Survey

Published:2022-03-09 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Computing and Informatics (ICCI)
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Author:

Iskandar Ayman¹,Alfonse Marco²,Roushdy Mohamed³,El-Horbaty El-Sayed M.¹

Affiliation:

1. Future University in Egypt,Faculty of Computers and Information Technology,Computer Science Department,Cairo,Egypt

2. Ain Shams University, Faculty of Computer and Information Sciences, Cairo, Egypt

3. Future University in Egypt, Faculy of Computers and Information Technology,Computer Science Department,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9756014/9756015/09756118.pdf?arnumber=9756118

Reference21 articles.

1. Novel Footstep Features Using Dominant Frequencies for Personal Recognition

2. Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks

3. Deep Neural Networks for Learning Spatio-Temporal Features From Tomography Sensors

4. Transforming sensor data to the image domain for deep learning — An application to footstep detection

5. Temporal Pattern Recognition in Gait Activities Recorded With a Footprint Imaging Sensor System

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1. ConvNeXt network with transfer learning for cumulative foot pressure images recognition;International Journal of Information Technology;2024-03-07

2. A Comparative Study of Recent 2D Human Pose Estimation Methods;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06

3. Augmented-Reality Presentation of Household Sounds for Deaf and Hard-of-Hearing People;Sensors;2023-09-02

4. Gait-based Biometric System Using Pressure Sensing Mats and Machine Learning Algorithms;2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2023-06-14

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