Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Human activity recognition (HAR)"”.
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Human Activity Recognition using Hearing Aids
As people age, monitoring physical activity becomes increasingly important for assessing and maintaining health. Wearable devices are a promising means of accomplishing this measurement since they are unobtrusive, portable, and accessible. This thesis investigates the feasibility of using hearing …
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Cough Event Recognition Using Signal-Processing Based Feature Sets and Machine Learning, with Tri-Axial Accelerometer Sensor Worn at Multiple Body Points
Human activity recognition (HAR) from time-series accelerometer and gyroscope sensor data has seen tremendous progress in recent years. Laying, standing, sitting, walking, walking down, and walking upstairs are the daily human activities that are commonly classified using sensor data. Cough is a …
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The role of representations in human activity recognition
… the role of representations in sensor based human activity recognition (HAR). In particular, we develop convolutional and recurrent autoencoder architectures for feature learning and compare their performance to a distribution-based representation as well as a supervised deep learning …
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Device-Free WiFi Sensing for Human Activity Recognition
Human activity recognition (HAR) using WiFi signals (WiFi-based HAR) has drawn considerable interest from the research community. In contrast to traditional device-based sensing techniques, WiFi-based HAR possesses several advantages, including convenience, wide availability, and privacy …
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COLLABORATIVE APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION IN DATA SCARCITY SCENARIOS
One of the most important goals of Human Activity Recognition (HAR) is to automatically obtain information on the behaviors of the users to proactively assist them with their tasks. In the literature, the majority of physical activity recognition approaches rely on fully- supervised techniques to …
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NEURO-SYMBOLIC AI APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION
Sensor-based Human Activity Recognition (HAR) is an active research area, with relevant applications in healthcare and well-being. Deep Learning (DL) classifiers are currently the leading approach to tackle HAR, but their deployment is often limited by their inherent opacity and the scarcity of …
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2022: A Computational Odyssey - Towards a Deeper Understanding of Clustering Streaming Human Activity Recognition Data
… of data streams being readily available. Human Activity Recognition (HAR) is one such example and understanding the hierarchy of human movements can have positive implications in elderly care, physiotherapeutic therapy, surveillance, and general healthcare, among others. However, the …
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Wireless Sensing and Fusion using Deep Neural Networks
… of wireless sensing. Indoor localization and human activity recognition (HAR) are two major applications of wireless sensing. However, current fingerprint-based localization methods require massive amounts of labeled data and suffer severe performance degradation in NLOS environments. To …
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Improving human movement sensing with micro models and domain knowledge
Human sensing is concerned with techniques for inferring information about humans from various sensing modalities. Examples of human sensing applications include human activity (or action) recognition, emotion recognition, tracking and localisation, identification, presence and motion detection, …
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A data fusion-based hybrid sensory system for older people’s daily activity recognition.
… injuries, mental health or the lack of physical activity. Sensor-based human activity recognition (HAR) has become one of the most promising assistive technologies for older people’s daily life. Literature in HAR suggests that each sensor modality has its strengths and limitations and single …
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Inferring Complex Activities for Context-aware Systems within Smart Environments
… to help address the aforementioned problems. Human Activity Recognition (HAR) is a critical component in AAL systems which enables applications such as just-in-time assistance, behaviour analysis, anomalies detection and emergency notifications. This thesis is aimed at investigating challenges …
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Personalised exercise recognition towards improved self-management of musculoskeletal disorders.
… quality of exercises in real-time. Exercise Recognition (ExRec) is the machine learning problem that investigates the automation of exercise monitoring. Multiple challenges arise when implementing high performing ExRec algorithms for a wide range of exercises performed by people from …