Music Emotion Recognition Based on Deep Learning: A Review
IEEE AccessIn recent years, with the development of the digital era, music emotion recognition technology has been widely used in the fields of music recommendation system, music classification, psychotherapy, music visualization, background music generation, smart
Xingguo Jiang +3 more
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Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study
Sensors, 2019 Over the past two decades, automatic facial emotion recognition has received enormous attention. This is due to the increase in the need for behavioral biometric systems and human–machine interaction where the facial emotion recognition and the ...
Dhwani Mehta +2 more
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Aging and Cancer, EarlyView.Aging‐associated physiological and molecular alterations pose significant challenges in cancer management among India's elderly. Limited geriatric oncology expertise, financial constraints, and inadequate specialized care exacerbate disparities. Strategic expansion of insurance coverage, integration of palliative care, and infrastructural advancements ...
Nihanthy D. Sreenath +3 more
wiley +1 more source
Emotion recognition: recognition of emotions through voice
, 2022 As the years go by, the interaction between humans and machines seems to gain more and more importance for many different reasons, whether it's taken into consideration personal or commercial use. On a time where technology is reaching many parts of our lives, it's important to keep thriving for a healthy progress and help not only to improve but also ...
openaire +1 more source
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz +3 more
wiley +1 more source
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation [PDF]
, 2023 Yingjian Liu +3 more
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Effectiveness and Safety of Nusinersen and Risdiplam in Spinal Muscular Atrophy: A Systematic Review
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinal Muscular Atrophy (SMA) is a rare genetic disorder marked by progressive muscle weakness and mobility loss. It has a profound physical, emotional and social impact on patients and caregivers, requiring comprehensive medical and supportive care.
Amin Mehrabian +9 more
wiley +1 more source
Emotion recognition and intellectual disability : development of the kinetic emotion recognition assessment and evaluation of the emotion specificity hypothesis : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Clinical Psychology at Massey University, Albany, New Zealand [PDF]
, 2017 Deficits in social adaptive functioning are a defining criterion of intellectual disability (ID) (American Psychiatric Association, 2013), and a key predictor of social inclusion and subsequent quality of life (Kozma, Mansell, & Beadle-Brown, 2009 ...
Godinovich, Zara Angela
core
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization
, 2018 Emotion is a key element in user-generated videos. However, it is difficult to understand emotions conveyed in such videos due to the complex and unstructured nature of user-generated content and the sparsity of video frames expressing emotion.
Fu, Yanwei +4 more
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