An user friendly Scheme of Numerical Representation for Music Chords

Fashion psychology is commonly defined as the study of the impact of clothing choices on the way in which we perceive and judge each other. However, the term fashion psychology is a bit misleading, as the field actually looks well beyond clothing’s impact on the individual. And its focus transcends clothing to also consider the impact of many other products that express self- identity and are influenced by the same forces that drive change in the apparel industry, Many psychological factors help explain what motivates us to be fashionable. These include conformity, desires for variety seeking, the need to express personal creativity, and sexual attraction. For example, many consumers seem to have a need for uniqueness: They want to be different (though not necessarily too different!). As a result, people may conform to the basic outlines of a fashion, but still improvise to make a personal statement within these general guidelines. Psychology and fashion are two fields that, on the surface, may seem unrelated, but they have a deep connection. Psychology is the study of the mind and behaviour, while fashion is the study of clothing and accessories. However, fashion is also a reflection of societal values, cultural influences, and personal expression. It is a visual representation of how individuals want to be perceived and how they want to present themselves to the world. Therefore, fashion can be used as a tool to understand various psychological concepts such as identity, self-esteem, and social status. Understanding the relationship between psychology and fashion can provide insights into how individuals use clothing and accessories to communicate their thoughts, feelings, and personality to others, and how fashion trends are shaped by psychological factors.

Psychology of Fashion and its influence on Indian Consumers

Divyabharathi¹

2023

Psychology of Fashion and Brand Image: A Case Study of Indian Consumer Perception

Divyabharathi¹

2023

Fashion psychology is the study of how clothing and appearance affect human behavior, emotions, and cognition. Whereas brand image refers to the perception of a brand in the minds of consumers, which is shaped by advertising, packaging, and other marketing efforts. The relationship between fashion psychology and brand image is that consumers often choose clothing and accessories based on how they want to present themselves to others, and a brand’s image can influence this decision-making process. For example, a person may choose to wear a certain brand of clothing because they associate it with a certain lifestyle or social groups. Brand image plays a significant role in the fashion industry, as it can greatly influence consumer purchasing decisions. Consumers often associate certain brands with specific styles, quality, and status, which can make them more likely to purchase clothing and accessories from those brands

Recognition of Acute Illness From Facial Expression Using Image Classification

S.Vetri Selvi,

Shakamuri Vishnu Vardhan,

Singaram Akhilesh

et al. 2023

As demonstrated in hereditary disorders and acute coronary syndrome, facial and physical signals (clinical gestalt) in Deep learning (DL) models enhance the evaluation of patients' health state. It is unknown whether adding clinical gestalt enhances the classification of patients with acute illnesses. The applicability of clinical gestalt may be assessed using simulated or augmented data, similar to earlier work on DL analysis of medical images.. In this study, using photos of facial cues for disease, For automatic rug sick identification, we developed a computer-aided diagnosis method. Individuals who were experiencing an acute sickness were seen by uninformed observers to have pale skin, lips and a more bloated face, more droopy eyelids, redder eyes, less shiny and spotted skin, as well as seeming more weary.. According to our research, critically ill and potentially contagious individuals can be identified using facial clues related to the skin, lips, and eyes. 1 To address the lack of data, we used deep transfer learning and constructed a CNN framework using the four transfers learning techniques shown below.: ResNet50, InceptionV3, VGG16, VGG19, Xception, and Inception. Whereas ResNet101 is utilized in the current methods, it does not have the appropriate precision and could use improvement. So, it is suggested to combine the current method with additional transfer learning techniques. The suggested method was examined using a publicly accessible dataset called Facial Cue of Illness.