Informatics Publishing Limited

Prerna Gupta ¹, Garima Joshi ², Maitreyee Dutta ¹

Affiliations
1 Computer Science and Engineering, NITTTR, Chandigarh, IN
2 Electronics and Communications, UIET, Chandigarh, IN

Abstract

Gesture recognition is a vast topic of research in computer science. It deals with creating a system that can identify human gestures and use them for different applications. In gesture recognition, a camera is used to capture human body's motions which are sent to the computer for interpreting human body language. One of the major application areas of gesture recognition is automatic sign language recognition. In sign language motion of human body parts like hands and head are very important to consider. Whenever trajectories and movements are considered, tracking plays a vital role and is essential too. Tracking helps in recognizing the motion trajectories. This paper presents literature review on research and findings by researchers on different techniques and approaches of tracking.

Keywords

Review, Tracking, Sign Language, Mean shift, Kalman Filter, Condensation, Particle Filter.

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Nicole Neil Cerejo ¹, Anoushka Garg ¹, Garima Joshi ¹, Neeraj Panwar ¹, Priyeshx C ¹

Affiliations
1 Department of Psychology, School of Social Sciences and Humanities, Christ (Deemed-to-be-University), Delhi NCR, IN

Abstract

The cognitive functioning and psychological well-being (PWB) of geriatric inhabitants gradually decreases with increasing age. The pandemic caused by COVID-19 has further impacted this decline. The objective of the current research was to explore the significant differences in PWB (loneliness, hopelessness, self-acceptance, & purpose in life) and cognitive functioning between subjects with a history of COVID-19 and healthy controls (HC) among the geriatric population in India. The present cross-sectional research involved 30 participants with a history of COVID-19, along with 30 HC, recruited through purposive sampling method. Questionnaires were used to measure the variables of cognitive functioning, and psychological wellbeing (hopelessness, loneliness, self-acceptance, and purpose in life). Independent sample t-tests revealed significantly deprived levels of cognitive functioning (p<0.001) and PWB in participants with a history of COVID-19 compared to HC, which comprised of loneliness (p<0.001), hopelessness (p<0.001), self-acceptance (p=0.004) and purpose in life (p=0.046). The research findings highlight the influence of COVID-19 in the geriatric population leading to an impairment in cognitive functioning and impaired levels of PWB. Suitable methods should be taken to distinguish these cognitive impairments and poor well-being levels to keep the geriatric population at the optimum mental health state.

Keywords

cognitive-functioning, psychological-well-being, elderly, COVID-19

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Anoushka Garg ¹, Nicole Neil Cerejo ¹, Garima Joshi ¹, Neeraj Panwar ¹, Priyesh C ¹

Affiliations
1 Department of Psychology, School of Social Sciences and Humanities, Christ (Deemed to be University), Delhi NCR, India, IN

Abstract

Marital satisfaction proves to be a crucial factor in recent times in the Indian context to reduce divorce rates, and to promote stable and secure relationships. Existing literature suggests that factors such as Personality, Physical attractiveness and Adjustment contribute to better marital satisfaction. The aim of the present study was to identify the relationship between Personality, Physical Attractiveness, Adjustment Patterns and Marital satisfaction among married individuals. This cross-sectional research included 60 married individuals (30 males and 30 females), who were recruited using purposive sampling. Marital satisfaction was found to have a significant positive correlation with Decision making (r=0.41), Values (r=0.29), Affection (r=0.32), Stability (r=0.53), Conflict (r=0.27), Discussion (r=0.43), Behavioral Dimension (r=0.56), Emotional dimension (r=0.45) and Conscientiousness (r=0.51). Marital satisfaction presented a significant negative correlation with Neuroticism (r=-0.34). Linear regression revealed that Consensus, Conscientiousness and Behavioral Dimension significantly predicted marital satisfaction. The present study highlights the importance of personality, adjustment patterns, and physical attractiveness for a healthy marital relationship. Social skills training, assertiveness training and mindful awareness during the marital relationship and communication would strengthen the marital satisfaction among married individuals.

Keywords

marital satisfaction, physical attractiveness, adjustment patterns, personality

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