Dissociating Face Processing Skills: Decisions about Lip read Speech, Expression, and Identity

1996 ◽  
Vol 49 (2) ◽  
pp. 295-314 ◽  
Author(s):  
Ruth Campbell ◽  
Barbara Brooks ◽  
Edward de Haan ◽  
Tony Roberts
Keyword(s):  
Face Processing ◽  
Face Identification ◽  
Speech Sounds ◽  
Manual Responses ◽  
Lip Reading ◽  
Identity Matching ◽  
Unfamiliar Face ◽  
Identity Based ◽  
Series Of Experiments

The separability of different subcomponents of face processing has been regularly affirmed, but not always so clearly demonstrated. In particular, the ability to extract speech from faces (lip-reading) has been shown to dissociate doubly from face identification in neurological but not in other populations. In this series of experiments with undergraduates, the classification of speech sounds (lip-reading) from personally familiar and unfamiliar face photographs was explored using speeded manual responses. The independence of lip-reading from identity-based processing was confirmed. Furthermore, the established pattern of independence of expression-matching from, and dependence of identity-matching on, face familiarity was extended to personally familiar faces and “difficult”-emotion decisions. The implications of these findings are discussed.

scholarly journals The Goldsmiths Unfamiliar Face Memory and Before They Were Adult Tests

2020 ◽  
Author(s):  
Ashok Jansari ◽  
E. Green ◽  
Francesco Innocenti ◽  
Diego Nardi ◽  
Elena Belanova ◽  
...  
Keyword(s):  
Face Recognition ◽  
Holistic Processing ◽  
Face Identification ◽  
Facial Features ◽  
Face Memory ◽  
Face Matching ◽  
Recognition Ability ◽  
Unfamiliar Face ◽  
The Continuum

Unfamiliar face identification ability varies widely in the population. Those at the extreme top and bottom ends of the continuum have been labelled super-recognisers and prosopagnosics, respectively. Here we describe the development of two new tests - the Goldsmiths Unfamiliar Face Memory Test (GUFMT) and the Before They Were Adult Test (BTWA), that have been designed to measure different aspects of face identity ability across the spectrum. The GUFMT is a test of face memory, the BTWA a test of simultaneous adult-to-child face matching. Their designs draw on theories suggesting face identification is achieved by the recognition of facial features, the consistency across time of configurations between those features, and holistic processing of faces as a Gestalt. In four phases, participants (n = 16737), recruited using different methods, allowed evaluations to drive GUFMT development, the creation of likely population norms, as well as correlations with established face recognition tests. Recommendations for criteria for classification of super-recognition ability are also made.

A new front-end for classification of non-speech sounds: a study on human whistle

2015 ◽  
Author(s):  
Mahesh Kumar Nandwana ◽  
Hynek Bořil ◽  
John H. L. Hansen
Keyword(s):  
Speech Sounds ◽  
Front End

COMPARATIVE EVALUATION OF NEW OSTEOPLASTIC MATERIALS BASED ON THE RESULTS OF ACUTE TOXICITY STUDIES

2021 ◽  
Vol Special issue (2) ◽  
pp. 29-33
Author(s):  
А.N. Akbarov ◽  
◽  
N.S. Ziyadullaeva
Keyword(s):  
Bioactive Glass ◽  
Intraperitoneal Injection ◽  
Comparative Evaluation ◽  
Laboratory Animals ◽  
Toxic Substances ◽  
Series Of Experiments ◽  
Osteoplastic Material ◽  
Rats And Mice ◽  
Lethal Doses

Three series of experiments were carried out and lethal doses of the new osteoplastic material 47.5 V were determined by the intraperitoneal and intragastric injection of the material to laboratory animals. A comparative evaluation with Bioactive glass BG-1D was also carried out. It was found that the LD50of 47,5B was 4274.51:4770.58 mg/kg for intragastric injection and 2358.31:2895.65 mg/kg for intraperitoneal injection to rats. In animals getting Bioactive glass BG-1D, these indicators changed slightly, amounting to 3439.04:3810.53 mg/kg and 1732.77:2730.93 mg/kg, respectively. Thus, according to the classification of substances according to the degree of toxicity, these materials can be attributed to practically non-toxic substances (according to the results of intraperitoneal injection of the material suspension to rats and mice) and low-toxic substances (according to the results of intragastric injection of the material suspension to rats)

scholarly journals SURF-BRISK–Based Image Infilling Method for Terrain Classification of a Legged Robot

2019 ◽  
Vol 9 (9) ◽  
pp. 1779 ◽  
Author(s):  
Yaguang Zhu ◽  
Chaoyu Jia ◽  
Chao Ma ◽  
Qiong Liu
Keyword(s):  
Legged Robot ◽  
Terrain Classification ◽  
Walking Robot ◽  
Adaptive Locomotion ◽  
Speeded Up Robust Features ◽  
Pixel Image ◽  
Series Of Experiments ◽  
Multilegged Walking Robot ◽  
Local Image

In this study, we propose adaptive locomotion for an autonomous multilegged walking robot, an image infilling method for terrain classification based on a combination of speeded up robust features, and binary robust invariant scalable keypoints (SURF-BRISK). The terrain classifier is based on the bag-of-words (BoW) model and SURF-BRISK, both of which are fast and accurate. The image infilling method is used for identifying terrain with obstacles and mixed terrain; their features are magnified to help with recognition of different complex terrains. Local image infilling is used to improve low accuracy caused by obstacles and super-pixel image infilling is employed for mixed terrain. A series of experiments including classification of terrain with obstacles and mixed terrain were conducted and the obtained results show that the proposed method can accurately identify all terrain types and achieve adaptive locomotion.

Different and common brain signals of altered neurocognitive mechanisms for unfamiliar face processing in acquired and developmental prosopagnosia

Cortex ◽  
2021 ◽  
Vol 134 ◽  
pp. 92-113
Author(s):  
Ela I. Olivares ◽  
Ana S. Urraca ◽  
Agustín Lage-Castellanos ◽  
Jaime Iglesias
Keyword(s):  
Face Processing ◽  
Brain Signals ◽  
Unfamiliar Face

Sleep Thresholds in Depression

1962 ◽  
Vol 108 (455) ◽  
pp. 466-473 ◽  
Author(s):  
Irene Martin ◽  
Brian M. Davies
Keyword(s):  
Limited Success ◽  
Series Of Experiments ◽  
Biochemical Features

There are conflicting psychiatric opinions about the value of separating depressive illnesses into several syndromes on clinical grounds, and so far experimental attempts to reach a classification of depression by distinguishing physiological or biochemical features which characterize one group rather than another have had only limited success. One interesting series of experiments in this area has been that of Shagass and his colleagues on the sedation threshold (Shagass et al., 1956, Shagass and Naiman, 1956, Shagass, 1954); they report that neurotic and psychotic depressions can be differentiated by means of EEG and other reactions to sodium amytal (amylobarbitone sodium) neurotics requiring greater amounts of the drug to reach the sedation threshold.

scholarly journals Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network

2020 ◽  
Vol 12 (3) ◽  
pp. 582 ◽  
Author(s):  
Rui Li ◽  
Shunyi Zheng ◽  
Chenxi Duan ◽  
Yang Yang ◽  
Xiqi Wang
Keyword(s):  
Deep Learning ◽  
Hyperspectral Image ◽  
State Of The Art ◽  
Attention Mechanism ◽  
Superior Performance ◽  
Feature Maps ◽  
Spatial Features ◽  
Training Samples ◽  
Series Of Experiments

In recent years, researchers have paid increasing attention on hyperspectral image (HSI) classification using deep learning methods. To improve the accuracy and reduce the training samples, we propose a double-branch dual-attention mechanism network (DBDA) for HSI classification in this paper. Two branches are designed in DBDA to capture plenty of spectral and spatial features contained in HSI. Furthermore, a channel attention block and a spatial attention block are applied to these two branches respectively, which enables DBDA to refine and optimize the extracted feature maps. A series of experiments on four hyperspectral datasets show that the proposed framework has superior performance to the state-of-the-art algorithm, especially when the training samples are signally lacking.

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