scholarly journals Analytical review of automatic systems for depression detection by speech

Author(s):  
Alena Velichko ◽  
Alexey Karpov

In recent years the interest in automatic depression detection has grown within medical and scientific-technical communities. Depression is one of the most widespread mental illnesses that affects human life. In this review we present and analyze the latest researches devoted to depression detection. Basic notions related to the definition of depression were specified, the review includes both unimodal and multimodal corpora containing records of informants diagnosed with depression and control groups of non-depressed people. Theoretical and practical researches which present automated systems for depression detection were reviewed. The last ones include unimodal as well as multimodal systems. A part of reviewed systems addresses the challenge of regressive classification predicting the degree of depression severity (non-depressed, mild, moderate and severe), and another part solves a problem of binary classification predicting the presence of depression (if a person is depressed or not). An original classification of methods for computing of informative features for three communicative modalities (audio, video, text information) is presented. New methods for depression detection in every modality and all modalities in total are defined. The most popular methods for depression detection in reviewed studies are neural networks. The survey has shown that the main features of depression are psychomotor retardation that affects all communicative modalities and strong correlation with affective values of valency, activation and domination, also there has been observed an inverse correlation between depression and aggression. Discovered correlations confirm interrelation of affective disorders and human emotional states. The trend observed in many reviewed papers is that combining modalities improves the results of depression detection systems.

Author(s):  
Iryna Hubeladze

The paper deals with the phenomenon of sense of ownership as a socially determined entity, which appears on the basis of an instinctive need for ownership. Sense of ownership is defined as an emotional state of an individual, reflecting subjective evaluative attitudes towards real or abstract ownership targets. Sense of ownership has a number of levels, ranging from feelings to a particular object to more advanced social forms related to social values, ideals and personal attitudes. Sense of ownership is formed, actualized or deactivated during a human life under the influence of various social and psychological factors. The peculiarities of manifestation and stages of sense of ownership formation at different age periods are described in the article. Sociopsychological and political and psychological determinants of formation, actualization or deactivation, leveling or weakening of sense of ownership in ontogenesis are determined. They are motivation of psychological appropriation, group attitude towards ownership, group social and economic identity, development of value-semantic sphere of personality, as well as group values and meanings, collective emotional states, feeling of domination or dependence, intergroup and ingroup comparison, threat of loss of ownership, self-investing, psychological legitimization of ownership possession, and social competition. Sense of ownership can vary phenomenologically depending on the impact of various social and psychological factors, and can play both stimulating and hindering roles in individual identity formation. It can have different modalities, intensity, duration, depth, level of awareness, complexity, substantive content, and various conditions of occurrence, functions performed depending on the situation, different influence on a person, forms and conditions of its development. These determinants can operate in different ways and cause sense of ownership actualization or deactivation depending on the circumstances and stage of life, individual psychological features and his/her social environment. The influence of social and political conflicts on sense of ownership actualization/deactivation is analyzed using the example of internally displaced persons. Key words: sense of ownership, psychological ownership, social and psychological determination, sense of ownership formation, ontogenesis.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashutosh Shankhdhar ◽  
Pawan Kumar Verma ◽  
Prateek Agrawal ◽  
Vishu Madaan ◽  
Charu Gupta

PurposeThe aim of this paper is to explore the brain–computer interface (BCI) as a methodology for generating awareness and increasing reliable use cases of the same so that an individual's quality of life can be enhanced via neuroscience and neural networks, and risk evaluation of certain experiments of BCI can be conducted in a proactive manner.Design/methodology/approachThis paper puts forward an efficient approach for an existing BCI device, which can enhance the performance of an electroencephalography (EEG) signal classifier in a composite multiclass problem and investigates the effects of sampling rate on feature extraction and multiple channels on the accuracy of a complex multiclass EEG signal. A one-dimensional convolutional neural network architecture is used to further classify and improve the quality of the EEG signals, and other algorithms are applied to test their variability. The paper further also dwells upon the combination of internet of things multimedia technology to be integrated with a customized design BCI network based on a conventionally used system known as the message query telemetry transport.FindingsAt the end of our implementation stage, 98% accuracy was achieved in a binary classification problem of classifying digit and non-digit stimuli, and 36% accuracy was observed in the classification of signals resulting from stimuli of digits 0 to 9.Originality/valueBCI, also known as the neural-control interface, is a device that helps a user reliably interact with a computer using only his/her brain activity, which is measured usually via EEG. An EEG machine is a quality device used for observing the neural activity and electric signals generated in certain parts of the human brain, which in turn can help us in studying the different core components of the human brain and how it functions to improve the quality of human life in general.


Author(s):  
Mardie Townsend ◽  
Claire Henderson-Wilson ◽  
Haywantee Ramkissoon ◽  
Rona Weerasuriya

Evidence of declining well-being and increasing rates of depression and other mental illnesses has been linked with modern humans’ separation from nature. Landscapes become therapeutic when physical and built environments, social conditions, and human perceptions combine. Highlighting the contextual factors underpinning this separation from nature, this chapter outlines three Australian case studies to illustrate the links between therapeutic landscapes, restorative environments, place attachment, and well-being. Case study 1, a quantitative study of 452 park users near Melbourne, Victoria, focuses on place attachment and explored the links between pro-environmental behaviour and psychological well-being. Case study 2, a small pilot mixed-methods study in a rural area of Victoria, explores the restorative potential of hands-on nature-based activities for people suffering depression, anxiety, and social isolation. Case study 3, a qualitative study of users’ experiences of accessing hospital gardens in Melbourne, highlights improved emotional states and social connections.


1881 ◽  
Vol 27 (118) ◽  
pp. 147-155 ◽  
Author(s):  
Geo. H. Savage

The subject of moral insanity has already been considered from several points of view, but I think that when typical cases occur it is well to record them, so that, by a careful examination of published cases, more general information may be obtained concerning this malady. It may seem to the philosopher rather a mistaken way of considering the mind to divide it into intellectual and moral, but we in asylums have constantly to take notice of cases in which the moral side of the patient suffers very much more than the intellectual; and though I should not deem any person capable of being intellectually complete and yet morally defective, I would maintain that the defect on the intellectual side may be so little appreciated, or of so little importance in reference to the individual's relationships with the outer world, that it may be disregarded. In considering the cases at present under notice we shall have to point out that most of them have undoubtedly some defect or excess, if I may use the term, in their intellectual processes. When I say excess I refer to the presence of hallucinations and false perceptions that frequently occur in such cases. In attempting to define moral insanity it is easier to describe what it is not than to come to a comprehensive definition which will include all the cases falling into this group, and no others; and, by way of clearing up the condition, I would say that I look upon the moral relationships, so called, of the individual, as among the highest of his mental possessions, that long after the evolution of the mere organic lower parts, the moral side of man developed; that the recognition of property and of right in property developed with the appreciation of the value of human life, so that the control of one's passions, and of one's desires for possession, and of one's passion for power developed quite late in man, and, as might be expected, the last and highest acquisitions are those which are lost most readily. It is frequently noticed that in cases in which slow progressive nervous change takes place the moral relationships are the first, or among the first, to be affected; and in the same way after an intellectual storm it is no uncommon thing to see the intellect partly restored to its normal equilibrium, but still wanting the highest and most humane of its attributes—high moral control; so in the emotional states of acute mania, of general paralysis, or of chronic insanity we have corresponding defects in this highest intellectual control. From this point we shall have to notice moral insanity, it being in many cases a state or stage of mental disease, and not a fixed or permanent condition itself; so that in very many, if not in all, acute cases of insanity there is a period of moral perversion, just as in nearly all such cases there is a period of mental depression. I hardly think it worth my while to make very elaborate distinctions between the varieties of moral insanity. I would take it for granted that all admit what I have already said—that there is a condition in which the moral nature or the moral side of the character is affected greatly in excess of the intellectual side—and I will take the opportunity in this paper of discussing in detail a few of such cases, leaving for myself at another time, or for others, the consideration of cases bearing on the other parts of the subject. I should say that the cases of moral insanity are best considered under the heads of “primary” or “secondary,” and when speaking of “primary” I would refer to those cases which, from the first development, have some peculiarity or eccentricity of character exhibited purely on their social side. Such cases may be divided into the morally eccentric and the truly insane. The eccentric person who neglects his relationship to his fellow men and to the society and social position into which he was born must be looked upon as morally insane. Other cases seem from infancy prone to wickedness, and I would most emphatically state my belief that very many so-called spoiled children are nothing more nor less than children who are morally of unsound mind, and that the spoiled child owes quite as much to his inheritance as to his education. In many cases, doubtless, the parent who begets a nervous child is very likely to further spoil such child by bad or unsuitable education. In considering these latter cases—those that from childhood show some peculiarity of temper and character—it is all-important to remember that inheritance of neurosis plays a very prominent part indeed—that, in fact, the inheritance of neurosis may mean that the children are naturally unstable and unfitted to control their lower natures; that they come into the world unfitted to suit themselves to their surroundings; and, but for the conventional states of society, would soon lose their places and become exterminated. We shall, later, consider cases of this kind more in detail, but I would state before leaving the subject of primary moral insanity as seen in children, that I have seen a state of this kind occur in children of parents who have suffered from some febrile disease, or some constitutional disease like syphilis, before the begetting of the morally insane child, and I have no doubt that more will be discovered in time as to the relationship between the health of the parent at the time of the begetting and the moral state of the offspring.


IJOSTHE ◽  
2020 ◽  
pp. 1-7
Author(s):  
Ravi Kumar ◽  
Santosh Kumar Nagar ◽  
Anurag Shrivastava

Depression has become one of the most common mental illnesses in the past decade, affecting millions of patients and their families. However, the methods of diagnosing depression almost exclusively rely on questionnaire-based interviews and clinical judgments of symptom severity, which are highly dependent on doctors’ experience and makes it a labor-intensive work. This research work aims to develop an objective and convenient method to assist depression detection using facial features as well as textual features. Most of the people conceal their depression from everyone. So, an automated system is required that will pick out them who are dealing with depression. In this research, different research work focused for detecting depression are discussed and a hybrid approach is developed for detecting depression using facial as well as textual features. The main purpose of this research work is to design and propose a hybrid system of combining the effect of three effective models: Natural Language Processing, Stacked Deep Auto Encoder with Random forest (RF) classifier and fuzzy logic based on multi-feature depression detection system. According to literature several fingerprint as well as fingervein recognition system are designed that uses various techniques in order to reduce false detection rate and to enhance the performance of the system. A comparative study of different recognition technique along with their limitations is also summarized and optimum approach is proposed which may enhance the performance of the system. The result analysis shows that the developed technique significantly advantages over existing methods.


2021 ◽  
Vol 57 (2) ◽  
pp. 322-332
Author(s):  
Yedukondala Rao Veeranki ◽  
◽  
Nagarajan Ganapathy ◽  
Ramakrishnan Swaminathan ◽  
◽  
...  

Prediction and recognition of happy and sad emotional states play important roles in many aspects of human life. In this work, an attempt has been made to classify them using Electrodermal Activity (EDA). For this, EDA signals are obtained from a public database and decomposed into tonic and phasic components. Features, namely Hjorth and higher-order crossing, are extracted from the phasic component of the signal. Further, these extracted features are fed to four parametric classifiers, namely, linear discriminant analysis, logistic regression, multilayer perceptron, and naive bayes for the classification. The results show that the proposed approach can classify the dichotomous happy and sad emotional states. The multilayer perceptron classifier is accurate (85.7%) in classifying happy and sad emotional states. The proposed method is robust in handling the dynamic variation of EDA signals for happy and sad emotional states. Thus, it appears that the proposed method could be able to understand the neurological, psychiatrical, and biobehavioural mechanisms of happy and sad emotional states.


2008 ◽  
Vol 2 (4) ◽  
pp. 310-314 ◽  
Author(s):  
Ricardo Nitrini

Abstract Memory complaints are frequent in the elderly but the confirmation of memory decline is challenging. Tests employing the recall of paragraphs or short stories have been proposed for the diagnosis of Alzheimer's disease and amnestic mild cognitive impairment. Objectives: To evaluate the influence of educational level on immediate recall of short stories. Methods: A sample of 363 individuals (214 women; median age of 50; median years of schooling of 6; 23 illiterates) without evident physical or mental illnesses were evaluated with simple neuropsychological tests, including the recall of short stories immediately after listening to them read aloud by the examiner. Results: Age showed an inverse correlation whereas years of schooling showed a direct correlation with the scores on the immediate recall of short stories. As age and years of schooling were inversely correlated, logistic regression was employed, which showed that only years of schooling had an influence on the performance in the test. Conclusions: In populations with heterogeneous educational background, the recall of short stories cannot be recommended for the diagnosis of memory impairment. It is possible that tests with larger encoding phases are more appropriate for these populations. From a broader perspective, information released by radio or TV, as well as information disseminated orally in public settings such as hospitals, stations or airports may be less well retained by low educated individuals, especially when the information is presented only once.


2020 ◽  
Vol 38 (5) ◽  
pp. 381-402
Author(s):  
Sadaqat Ali ◽  
Ahmad Majdi Abdul Rani ◽  
Zeeshan Baig ◽  
Syed Waqar Ahmed ◽  
Ghulam Hussain ◽  
...  

AbstractBiomaterials play a significant role in revolutionizing human life in terms of implants and medical devices. These materials essentially need to be highly biocompatible and inert to the human physiological conditions. This paper provides an in-depth, critical and analytical review on the previous research work and studies conducted in the field of metals and alloys used as implant materials including stainless steel, titanium and its alloys, cobalt chromium and others. Since the manufacturing of medical implants relies on selected grades of biomaterials, metals play a significant role in biomaterials market. This paper focuses on highlighting some basic principles of manufacturing implant materials underlying composition, structure and properties of these materials. Finally, attention is also given to the role of these implant materials on the betterment of human life in terms of their failures by critically analysing these materials.


Depression is the world’s fourth leading disease and will be in the second in 2020 according to the statistics of World Health Organization.Depression affects many people irrespective of their age, geographic location, demographic or social position and more commonly affects females than males.Depression is a mental disorder which can impair many facets of human life. Though not easily detected it has intense and wide-ranging impressions. Although many researchers explored numerous techniques in predicting depression, still there is no improvement and the generations are facing higher rate of depression. It is believed that the depression detection algorithms can be more accurate and their performance can be better if they rely on artificial intelligence. On considering these factors, it is planned to perform a survey on the application of various machine learning techniques that have been used in the domain of sentimental analysis for depression detection.


2021 ◽  
Vol 91 (1) ◽  
pp. 1-8
Author(s):  
Shinichi Nagata ◽  
Bryan McCormick ◽  
Eugene Brusilovskiy ◽  
Yaara Zisman-Ilani ◽  
Stephany Wilson ◽  
...  

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