Deep-Learning for Occupancy Detection Using Doppler Radar and Infrared Thermal Array Sensors

2019 ◽  
Author(s):  
Milad Abedi ◽  
Farrokh Jazizadeh
Keyword(s):  
Deep Learning ◽  
Doppler Radar ◽  
Occupancy Detection

scholarly journals Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3937
Author(s):  
Seungeon Song ◽  
Bongseok Kim ◽  
Sangdong Kim ◽  
Jonghun Lee
Keyword(s):  
Deep Learning ◽  
Gesture Recognition ◽  
Smart Home ◽  
Doppler Radar ◽  
Radar Images ◽  
Radar Signature ◽  
Memory Efficiency ◽  
High Compression ◽  
Value Decomposition ◽  
Deep Learning Model

Recently, Doppler radar-based foot gesture recognition has attracted attention as a hands-free tool. Doppler radar-based recognition for various foot gestures is still very challenging. So far, no studies have yet dealt deeply with recognition of various foot gestures based on Doppler radar and a deep learning model. In this paper, we propose a method of foot gesture recognition using a new high-compression radar signature image and deep learning. By means of a deep learning AlexNet model, a new high-compression radar signature is created by extracting dominant features via Singular Value Decomposition (SVD) processing; four different foot gestures including kicking, swinging, sliding, and tapping are recognized. Instead of using an original radar signature, the proposed method improves the memory efficiency required for deep learning training by using a high-compression radar signature. Original and reconstructed radar images with high compression values of 90%, 95%, and 99% were applied for the deep learning AlexNet model. As experimental results, movements of all four different foot gestures and of a rolling baseball were recognized with an accuracy of approximately 98.64%. In the future, due to the radar’s inherent robustness to the surrounding environment, this foot gesture recognition sensor using Doppler radar and deep learning will be widely useful in future automotive and smart home industry fields.

scholarly journals Correction to: Deep learning-based elderly gender classification using Doppler radar

2021 ◽  
Author(s):  
ZhiChen Wang ◽  
Zelin Meng ◽  
Kenshi Saho ◽  
Kazuki Uemura ◽  
Naoto Nojiri ◽  
...  
Keyword(s):  
Deep Learning ◽  
Doppler Radar ◽  
Gender Classification

DeepClass: edge based class occupancy detection aided by deep learning and image cropping

2020 ◽  
Author(s):  
Rita Tse ◽  
Lorenzo Monti ◽  
Marcus Im ◽  
Silvia Mirri ◽  
Giovanni Pau ◽  
...  
Keyword(s):  
Deep Learning ◽  
Occupancy Detection ◽  
Edge Based

Sign Language Gesture Recognition Using Doppler Radar and Deep Learning

2019 ◽  
Author(s):  
Hovannes Kulhandjian ◽  
Prakshi Sharma ◽  
Michel Kulhandjian ◽  
Claude D'Amours
Keyword(s):  
Deep Learning ◽  
Sign Language ◽  
Gesture Recognition ◽  
Doppler Radar

Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data

2020 ◽  
Vol 11 (5) ◽  
pp. 4490-4501 ◽  
Author(s):  
Cong Feng ◽  
Ali Mehmani ◽  
Jie Zhang
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Occupancy Detection ◽  
Building Occupancy

Deep learning for decentralized parking lot occupancy detection

2017 ◽  
Vol 72 ◽  
pp. 327-334 ◽  
Author(s):  
Giuseppe Amato ◽  
Fabio Carrara ◽  
Fabrizio Falchi ◽  
Claudio Gennaro ◽  
Carlo Meghini ◽  
...  
Keyword(s):  
Deep Learning ◽  
Occupancy Detection ◽  
Parking Lot

scholarly journals Simulation study of deep-learning-based gait classification of young/elderly adults using Doppler radar

2021 ◽  
Vol 18 ◽  
pp. 100103
Author(s):  
Toshiyuki Hoshiga ◽  
Kenshi Saho ◽  
Keitaro Shioiri ◽  
Masahiro Fujimoto ◽  
Yoshiyuki Kobayashi
Keyword(s):  
Deep Learning ◽  
Simulation Study ◽  
Doppler Radar ◽  
Elderly Adults ◽  
Gait Classification

Deep Learning-Based UAV Detection in Pulse-Doppler Radar

2021 ◽  
pp. 1-12
Author(s):  
Chenxing Wang ◽  
Jiangmin Tian ◽  
Jiuwen Cao ◽  
Xiaohong Wang
Keyword(s):  
Deep Learning ◽  
Doppler Radar ◽  
Pulse Doppler ◽  
Pulse Doppler Radar
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