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An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors
(Institute of Electrical and Electronics Engineers Inc., 2021)
Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical ...
Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning
(PeerJ Inc., 2021)
The study of human posture analysis and gait event detection from various types of inputs is a key contribution to the human life log. With the help of this research and technologies humans can save costs in terms of time ...
A word embedding technique for sentiment analysis of social media to understand the relationship between Islamophobic incidents and media portrayal of Muslim communities
(PeerJ Inc., 2022)
Islamophobia is a sentiment against the Muslim community; recently, atrocities towards Muslim communities witnessed this sentiment globally. This research investigates the correlation between how news stories covered by ...
Self-Care Assessment for Daily Living Using Machine Learning Mechanism
(Tech Science Press, 2022)
Nowadays, activities of daily living (ADL) recognition system has been considered an important field of computer vision.Wearable and optical sensors are widely used to assess the daily living activities in healthy people ...
MS-DLD: Multi-Sensors based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs
(Institute of Electrical and Electronics Engineers Inc., 2022)
More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors ...
Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron
(MDPI, 2022)
Applied sensing technology has made it possible for human beings to experience a revolutionary aspect of the science and technology world. Along with many other fields in which this technology is working wonders, human ...
A Feature-Based Approach for Sentiment QuantificationUsing Machine Learning
(MDPI, 2022)
Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual ...
Human Pose Estimation and Object Interaction for Sports Behaviour
(Tech Science Press, 2022)
In the new era of technology, daily human activities are becoming more challenging in terms of monitoring complex scenes and backgrounds. To understand the scenes and activities from human life logs, human-object interaction ...
Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network
(MDPI, 2022)
Advanced aerial images have led to the development of improved human–object interaction recognition (HOI) methods for usage in surveillance, security, and public monitoring systems. Despite the ever-increasing rate of ...
A Deep Learning Approach for Prediction of Protein Secondary Structure
(Tech Science Press, 2022)
The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary structures. For this reason, it is important to design methods for accurate protein secondary structure ...