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Vision and Inertial Sensing Fusion for Human Action Recognition : A
  Review

Vision and Inertial Sensing Fusion for Human Action Recognition : A Review

2 August 2020
Sharmin Majumder
N. Kehtarnavaz
ArXivPDFHTML

Papers citing "Vision and Inertial Sensing Fusion for Human Action Recognition : A Review"

18 / 18 papers shown
Title
Multidomain Multimodal Fusion For Human Action Recognition Using
  Inertial Sensors
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors
Zeeshan Ahmad
N. Khan
21
17
0
22 Aug 2020
Towards Improved Human Action Recognition Using Convolutional Neural
  Networks and Multimodal Fusion of Depth and Inertial Sensor Data
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data
Zeeshan Ahmad
N. Khan
33
17
0
22 Aug 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview,
  Challenges and Opportunities
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen
Dalin Zhang
Lina Yao
Bin Guo
Zhiwen Yu
Yunhao Liu
HAI
48
632
0
21 Jan 2020
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of
  Depth and Inertial Sensors
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors
Zeeshan Ahmad
N. Khan
33
43
0
25 Oct 2019
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Pichao Wang
W. Li
P. Ogunbona
Jun Wan
Sergio Escalera
3DH
65
354
0
31 Oct 2017
Skeleton-Based Human Action Recognition with Global Context-Aware
  Attention LSTM Networks
Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks
Jun Liu
G. Wang
Ling-yu Duan
Kamila Abdiyeva
Alex C. Kot
HAI
120
489
0
18 Jul 2017
Scene Flow to Action Map: A New Representation for RGB-D based Action
  Recognition with Convolutional Neural Networks
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks
Pichao Wang
W. Li
Zhimin Gao
Yuyao Zhang
Chang-Fu Tang
P. Ogunbona
3DPC
188
131
0
28 Feb 2017
Action Recognition Based on Joint Trajectory Maps with Convolutional
  Neural Networks
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks
Pichao Wang
W. Li
Chuankun Li
Yonghong Hou
110
215
0
30 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
437
22,040
0
09 Dec 2016
Action Recognition Based on Joint Trajectory Maps Using Convolutional
  Neural Networks
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks
Pichao Wang
Zhihao Li
Yonghong Hou
W. Li
113
357
0
08 Nov 2016
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition
Yanan Guo
Lei Li
Weifeng Liu
Jun Cheng
Dapeng Tao
36
57
0
07 Aug 2016
RGBD Datasets: Past, Present and Future
RGBD Datasets: Past, Present and Future
Michael Firman
54
150
0
04 Apr 2016
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
Amir Shahroudy
T. Ng
Yihong Gong
G. Wang
114
228
0
23 Mar 2016
Egocentric Activity Recognition with Multimodal Fisher Vector
Egocentric Activity Recognition with Multimodal Fisher Vector
Sibo Song
Ngai-Man Cheung
V. Chandrasekhar
Bappaditya Mandal
Jie Lin
EgoV
31
41
0
25 Jan 2016
RGB-D-based Action Recognition Datasets: A Survey
RGB-D-based Action Recognition Datasets: A Survey
Jing Zhang
W. Li
P. Ogunbona
Pichao Wang
Chang-Fu Tang
54
256
0
21 Jan 2016
Space-Time Representation of People Based on 3D Skeletal Data: A Review
Space-Time Representation of People Based on 3D Skeletal Data: A Review
Fei Han
Brian Reily
W. Hoff
Hao Zhang
3DH
42
307
0
05 Jan 2016
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
237
7,526
0
09 Jun 2014
3-D position estimation from inertial sensing: minimizing the error from
  the process of double integration of accelerations
3-D position estimation from inertial sensing: minimizing the error from the process of double integration of accelerations
Pedro Neto
J. Norberto Pires
A. Moreira
55
43
0
18 Nov 2013
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