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  4. Cited By
Activity Recognition with Moving Cameras and Few Training Examples:
  Applications for Detection of Autism-Related Headbanging

Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging

10 January 2021
Peter Washington
A. Kline
O. Mutlu
É. Leblanc
C. Hou
N. Stockham
K. Paskov
B. Chrisman
Dennis Paul Wall
ArXiv (abs)PDFHTML

Papers citing "Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging"

14 / 14 papers shown
Advanced Gesture Recognition for Autism Spectrum Disorder Detection: Integrating YOLOv7, Video Augmentation, and VideoMAE for Naturalistic Video Analysis
Advanced Gesture Recognition for Autism Spectrum Disorder Detection: Integrating YOLOv7, Video Augmentation, and VideoMAE for Naturalistic Video Analysis
Amit Kumar Singh
Trapti Shrivastava
269
0
0
12 Oct 2024
A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
Manuel Serna-Aguilera
Xuan-Bac Nguyen
Han-Seok Seo
Khoa Luu
451
1
0
06 Sep 2024
Video-Based Autism Detection with Deep Learning
Video-Based Autism Detection with Deep Learning
Manuel Serna-Aguilera
Xuan-Bac Nguyen
Asmita Singh
Lydia Rockers
Se-Woong Park
Leslie Neely
Han-Seok Seo
Khoa Luu
343
10
0
26 Feb 2024
Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting
  Self-Stimulatory Behaviours in Children using raw videos
Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videosInternational Conference on e-Health Networking, Applications and Services (HealthCom), 2023
Vaibhavi Lokegaonkar
Vijay Jaisankar
Pon Deepika
Madhav Rao
T. Srikanth
Sarbani Mallick
Manjit Sodhi
123
5
0
25 Nov 2023
Personalization of Affective Models to Enable Neuropsychiatric Digital
  Precision Health Interventions: A Feasibility Study
Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study
A. Kargarandehkordi
Matti Kaisti
Peter Washington
95
1
0
21 Sep 2023
Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Yang Qian
A. Kargarandehkordi
O. Mutlu
Saimourya Surabhi
Mohammadmahdi Honarmand
Dennis Paul Wall
Peter Washington
230
7
0
19 Mar 2023
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in
  Precision Health
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision HealthJournal of Medical Internet Research (JMIR), 2023
Peter Washington
299
10
0
07 Mar 2023
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling
  for Aerial Video Action Recognition
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Ruiqi Xian
Xijun Wang
Tianyi Zhou
336
17
0
05 Mar 2023
Vision-Based Activity Recognition in Children with Autism-Related
  Behaviors
Vision-Based Activity Recognition in Children with Autism-Related Behaviors
P. Wei
David Ahmedt-Aristizabal
Harshala Gammulle
Akila Pemasiri
M. Armin
223
52
0
08 Aug 2022
An Exploration of Active Learning for Affective Digital Phenotyping
An Exploration of Active Learning for Affective Digital Phenotyping
Peter Washington
Cezmi Mutlu
A. Kline
C. Hou
K. Dunlap
...
N. Stockham
B. Chrisman
K. Paskov
Jae-Yoon Jung
Dennis Paul Wall
255
1
0
05 Apr 2022
Challenges and Opportunities for Machine Learning Classification of
  Behavior and Mental State from Images
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Peter Washington
O. Mutlu
A. Kline
K. Paskov
N. Stockham
B. Chrisman
Nick Deveaux
Mourya Surhabi
Nick Haber
Dennis Paul Wall
307
12
0
26 Jan 2022
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings:
  A Machine Learning Approach
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach
Nathan Chi
Peter Washington
A. Kline
Arman Husic
C. Hou
Chloe He
K. Dunlap
Dennis Paul Wall
143
9
0
04 Jan 2022
Classification of Abnormal Hand Movement for Aiding in Autism Detection:
  Machine Learning Study
Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study
Anish Lakkapragada
A. Kline
O. Mutlu
K. Paskov
B. Chrisman
N. Stockham
Peter Washington
Dennis Paul Wall
394
52
0
18 Aug 2021
Training Affective Computer Vision Models by Crowdsourcing Soft-Target
  Labels
Training Affective Computer Vision Models by Crowdsourcing Soft-Target LabelsCognitive Computation (Cogn Comput), 2021
Peter Washington
Cezmi Mutlu
É. Leblanc
A. Kline
C. Hou
...
N. Stockham
K. Paskov
Catalin Voss
Nick Haber
Dennis Paul Wall
401
26
0
10 Jan 2021
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