Jessica Rahman

Australian National University | ANU · Research School of Computer Science

Music is a universal medium that can elicit strong emotion, and can significantly help us in gaining focus while doing specific tasks. However, it is unclear what types of music can help to improve focus while doing other activities. In this paper, we investigate the effects of six different music stimuli on participants’ verbal and physiological r...

Recently, researchers in the field of affective neuro-science have taken a keen interest in identifying patterns in brain activities that correspond to specific emotions. The relationship between music stimuli and brain waves has been of particular interest due to music's disputed effects on brain activity. While music can have an anticonvulsant ef...

Music has the ability to evoke different emotions in people, which is reflected in their physiological signals. Advances in affective computing have introduced computational methods to analyse these signals and understand the relationship between music and emotion in greater detail. We analyse Electrodermal Activity (EDA), Blood Volume Pulse (BVP),...

Future human computing research could be enriched by enabling the computer to recognize emotional states from observers' physiological activities. In this paper, observers' electrodermal activities (EDA) are analyzed to recognize 7 emotional categories while watching total of 80 emotional videos. Twenty participants participated as observers and 16...

The relationship between music and human physiological signals has been a topic of interest among researchers for many years. Understanding this relationship can not only lead to more enhanced music therapy methods, but it may also help in finding a cure to mental disorders and epileptic seizures that are triggered by certain music. In this paper,...

Emotion monitoring can play a vital role in investigating mental health disorders that contribute to 14% of global diseases. Currently, the mental healthcare system is struggling to cope with the increasing demand. Robot-assisted mental health monitoring tools can take the enormous strain off the system. The current study explored existing state-of...

Music elicits strong emotional reactions in people, regardless of their gender, age or cultural background. Understanding the effects of music on brain activity can enhance existing music therapy techniques and lead to improvements in various medical and affective computing research. We explore the effects of three different music genres on people’...

Stress is a natural human response to external conditions which have been studied for a long time. Since prolonged periods of stress can cause health deterioration, it is important for researchers to understand and improve its detection. This paper uses neural network techniques to classify whether an individual is stressed, based on signals from a...

Lying is a common act in daily life and may have various degrees of falsehood. Deception detection has always been a fascinating area of research in which many studies have been conducted using subjects’ facial, verbal or bodily cues to spot potential deceit. However, none of the studies have investigated the physiological responses of observers in...

Maintaining mental health is crucial for emotional, psychological, and social well-being. Currently, however, societal mental health is at an all-time low. Robots have already proven useful in medicine, and robot assisted mental therapies through emotional monitoring have great potential. This paper reviews 60 recent papers to determine how accurat...

Smile recognition plays a vital role in human-human and human-computer interactions. This paper demonstrates a system to recognize the genuine and posed smiles by sensing observers' galvanic skin response (GSR), while watching sets of images and videos. The smiles were shown either in 'paired' or in 'single' forms. Here, 'paired' means that the sam...

Music can be used as a form of therapy and can reduce symptoms of depression and anxiety. Understanding the relationship between music and physiological reactions could be essential in further developing music therapy. This paper uses machine learning techniques to classify which genre of music is being listen to using physiological responses. Both...

div>Smile recognition plays a vital role in human-human and human-computer interactions. This paper demonstrates a system to recognize the genuine and posed smiles by sensing observers’ galvanic skin response (GSR), while watching sets of images and videos. The smiles were shown either in ‘paired’ or in ‘single’ forms. Here, ‘paired’ means that the...

div>Smile recognition plays a vital role in human-human and human-computer interactions. This paper demonstrates a system to recognize the genuine and posed smiles by sensing observers’ galvanic skin response (GSR), while watching sets of images and videos. The smiles were shown either in ‘paired’ or in ‘single’ forms. Here, ‘paired’ means that the...

Emotion recognition by machine learning methods has been a topic of interest for many years. This paper presents an analysis in stabilising a time-series, emotional response classifier. The network uses six convolutional layers to perform feature extraction on time-series data before passing the features into a fully connected classifier. To increa...