ResearchTrend.AI
CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors

CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors

Zeeshan Ahmad
N. Khan
ArXiv (abs)PDFHTML

Papers citing "CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors"

7 / 7 papers shown
Title
A Survey on Human Action Recognition
A Survey on Human Action Recognition
Zhou Shuchang
75
0
0
20 Dec 2022
Progressive Cross-modal Knowledge Distillation for Human Action Recognition
Progressive Cross-modal Knowledge Distillation for Human Action Recognition
Jianyuan Ni
A. Ngu
Yan Yan
HAI
64
22
0
17 Aug 2022
ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition
ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition
Xia Gong
Yuxiang Zhu
Haidi Zhu
Haoran Wei
78
27
0
19 Aug 2021
ECG Heartbeat Classification Using Multimodal Fusion
ECG Heartbeat Classification Using Multimodal Fusion
Zeeshan Ahmad
Anika Tabassum
L. Guan
N. Khan
60
84
0
21 Jul 2021
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion
Zeeshan Ahmad
S. Rabbani
Muhammad Rehman Zafar
Syem Ishaque
Sri Krishnan
N. Khan
59
15
0
09 Jul 2021
Inertial Sensor Data To Image Encoding For Human Action Recognition
Inertial Sensor Data To Image Encoding For Human Action Recognition
Zeeshan Ahmad
N. Khan
46
35
0
28 May 2021
Human Action Recognition from Various Data Modalities: A Review
Human Action Recognition from Various Data Modalities: A Review
Zehua Sun
Qiuhong Ke
Hossein Rahmani
Mohammed Bennamoun
Gang Wang
Jun Liu
MU
170
534
0
22 Dec 2020