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Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
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In: Sensors; Volume 22; Issue 8; Pages: 3070 (2022)
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A Portable Sign Language Collection and Translation Platform with Smart Watches Using a BLSTM-Based Multi-Feature Framework
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In: Micromachines; Volume 13; Issue 2; Pages: 333 (2022)
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American Sign Language Words Recognition of Skeletal Videos Using Processed Video Driven Multi-Stacked Deep LSTM
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In: Sensors; Volume 22; Issue 4; Pages: 1406 (2022)
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Phonemic interference in short-term memory contributes to forgetting but is not due to overwriting
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In: Test Series for Scopus Harvesting 2021 (2022)
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| 5 |
Deep Learning Methods for Human Behavior Recognition
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Lu, Jia. - : Auckland University of Technology, 2021
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Abstract:
With the decreased costs of security monitoring equipment such as cameras, video surveillance has been broadly applied to our communities and public places. However, at present most of the surveillance systems acquire anomalies and visual evidences only through video playback. Hence, it is necessary to develop the methods of real-time human behavior recognition so as to reduce security staff’s workload and improve work efficiency. The existing work needs feature extraction from the video frames to detect human body and achieve human behavior recognition. In this thesis, our focus is on the state-of-the-art methods for human behavior recognition based on deep learning. Since deep learning methods have been well investigated in the past decades, as an end-to-end computational method, it simplifies feature extraction as the operations in a black box. In this thesis, we explore and exploit the state-of-the-art methods, which are utilized for human behavior recognition. More importantly, in order to attain our goal, spatiotemporal information was collected and employed to the implementation of our research project. We firstly adopted ensemble learning with deep learning methods. We proposed Selective Kernel Network (SKNet) and ResNeXt with attention mechanism, which generate positive results to recognize human behaviours. The contributions of this thesis are: (1) The ResNeXt and SKNet with attention mechanism make the best accuracy of overall human behavior recognition at the rate up to 98.7% based on public datasets; (2) The YOLOv3 + LSTM network to reply on both spatiotemporal information with class score fusion is able to achieve 97.58% accuracy based on our dataset for sign language processing.
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Keyword:
Attention mechanism; Convolutional neural network (CNN); Deep learning (DL); Ensemble learning; Long short-term memory (LSTM); Selective kernel network (SKNet); You Only Look Once (YOLO)
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URL: http://hdl.handle.net/10292/14058
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| 6 |
Auditory and visual short-term memory: Influence of material type, contour, and musical expertise
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In: ISSN: 0340-0727 ; EISSN: 1430-2772 ; Psychological Research ; https://hal.archives-ouvertes.fr/hal-03384372 ; Psychological Research, Springer Verlag, In press, ⟨10.1007/s00426-021-01519-0⟩ (2021)
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| 7 |
Learning emotions latent representation with CVAE for Text-Driven Expressive AudioVisual Speech Synthesis
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In: ISSN: 0893-6080 ; Neural Networks ; https://hal.inria.fr/hal-03204193 ; Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩ (2021)
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| 8 |
Research compendium for Montero-Melis et al. (2021) "No evidence for embodiment: The motor system is not needed to keep action words in working memory" (Cortex) ...
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| 9 |
Cross-cultural cognitive assessment of dementia: a meta-analysis of the impact of illiteracy on dementia screening and an evaluation of a transcultural short-term memory assessment ...
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| 11 |
Human Gait Phase Recognition in Embedded Sensor System
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Liu, Zhenbang. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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| 12 |
Forecasting Hotel Room Occupancy Using Long Short-Term Memory Networks with Sentiment Analysis and Scores of Customer Online Reviews
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In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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| 13 |
Dynamic gesture classification of American Sign Language using deep learning
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| 14 |
Asm2Seq: Explainable Assembly Code Functional Summary Generation
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| 15 |
Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
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In: Graduate Theses and Dissertations (2021)
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| 16 |
Cross-cultural cognitive assessment of dementia: a meta-analysis of the impact of illiteracy on dementia screening and an evaluation of a transcultural short-term memory assessment
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| 17 |
The Effect of Language Recognition in Music on Short-Term Memory Recall and Physiological Stress Response
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| 18 |
The relationship between cognitive ability and BOLD activation across sleep–wake states
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In: Brain and Mind Institute Researchers' Publications (2021)
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| 19 |
Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches
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In: Electronic Thesis and Dissertation Repository (2021)
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| 20 |
Tipo de erro e nível socioeconômico em tarefa de repetição de não palavras ; Type of error and socioeconomic status in non-word repetition task
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