From emotions to mood disorders: A survey on gait analysis methodology
F Deligianni, Y Guo, GZ Yang - IEEE journal of biomedical and …, 2019 - ieeexplore.ieee.org
Mood disorders affect more than 300 million people worldwide and can cause devastating
consequences. Elderly people and patients with neurological conditions are particularly …
consequences. Elderly people and patients with neurological conditions are particularly …
Utilising the intel realsense camera for measuring health outcomes in clinical research
Applications utilising 3D Camera technologies for the measurement of health outcomes in
the health and wellness sector continues to expand. The Intel® RealSense™ is one of the …
the health and wellness sector continues to expand. The Intel® RealSense™ is one of the …
Survey on emotional body gesture recognition
Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …
While works based on facial expressions or speech abound, recognizing affect from body …
Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network
W Sheng, X Li - Pattern Recognition, 2021 - Elsevier
Human gait conveys significant information that can be used for identity recognition and
emotion recognition. Recent studies have focused more on gait identity recognition than …
emotion recognition. Recent studies have focused more on gait identity recognition than …
Wearable emotion recognition using heart rate data from a smart bracelet
L Shu, Y Yu, W Chen, H Hua, Q Li, J Jin, X Xu - Sensors, 2020 - mdpi.com
Emotion recognition and monitoring based on commonly used wearable devices can play
an important role in psychological health monitoring and human-computer interaction …
an important role in psychological health monitoring and human-computer interaction …
[PDF][PDF] Survey on AI-Based Multimodal Methods for Emotion Detection.
Automatic emotion recognition constitutes one of the great challenges providing new tools
for more objective and quicker diagnosis, communication and research. Quick and accurate …
for more objective and quicker diagnosis, communication and research. Quick and accurate …
Identifying emotions from walking using affective and deep features
We present a new data-driven model and algorithm to identify the perceived emotions of
individuals based on their walking styles. Given an RGB video of an individual walking, we …
individuals based on their walking styles. Given an RGB video of an individual walking, we …
Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions
JM Lahnakoski, PAG Forbes… - Royal Society …, 2020 - royalsocietypublishing.org
Interpersonal coordination of behaviour is essential for smooth social interactions. Measures
of interpersonal behaviour, however, often rely on subjective evaluations, invasive …
of interpersonal behaviour, however, often rely on subjective evaluations, invasive …
Human movement datasets: An interdisciplinary scoping review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
Evaluating ensemble learning methods for multi-modal emotion recognition using sensor data fusion
Automatic recognition of human emotions is not a trivial process. There are many factors
affecting emotions internally and externally. Expressing emotions could also be performed in …
affecting emotions internally and externally. Expressing emotions could also be performed in …