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 20 of 80 for “"Wearable Sensors"”.
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Life patterns : structure from wearable sensors
… methods for extracting life's patterns from wearable sensor data. Life patterns are the reoccurring events in daily behavior, such as those induced by the regular cycle of night and day, weekdays and weekends, work and play, eating and sleeping. My hypothesis is that since a "raw, low-level" …
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Evaluating human-EVA suit injury using wearable sensors
… humans move within the spacesuit. The rise of wearable technologies is changing the paradigm of biomechanics and allowing a continuous monitoring of motion performance in fields like athletics or medical rehabilitation. Similarly, pressure sensors allow a sensing capability to better locate the …
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Treadmill Assisted Circumvention of Wearable Sensors-based Gait Authentication
<p>Wearable sensor-based gait patterns are considered a promising means for future authentication systems. This dissertation examines whether circumvention of such systems can be accomplished by imitating sensor readings and providing external mechanical support. The specific machine that we used …
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Wearable sensors networks for safety applications in industrial scenarios
… paradigm, i.e. a network of “things” (such as sensors, tag RFID, actuators etc.) which can communicate and interact with each other within a shared IP addressing range, in order to share data and contribute to the management and development of advanced applications. Specifically, the thesis is …
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Wearable sensors and artificial intelligence for monitoring of Parkinson's disease
L'abstract è presente nell'allegato / the abstract is in the attachment
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Tracking and Analysis of Ecological Human Walking With Wearable Sensors
Gait studies performed in a laboratory setting might not fully represent real-life walking. Walking under constrained conditions, such as fixed speed or distance, can alter a person's gait. Humans often walk relatively short bouts that lack a steady speed, and longer bouts of varying movement …
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Measurement and Analysis of Cigarette Smoke Exposure and Smoking Behavior Using Wearable Sensors
… puff topography devices, and, recently, wearable sensors. However, these methods have few limitations, such as recall biases or digit preference in self-reporting. Biomarkers are objective and accurate, but they are expensive and not feasible for monitoring daily consumption. …
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Designing wearable sensors for Preventative Health: An exploration of material, form and function
… and treatment towards prevention (Swan, 2012). Wearable devices for Preventative Health have become a focus for innovation across academia and industry, thus this thesis explores the design of wearable biochemical and environmental sensors, which can provide users with an early warning, …
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Affective state recognition in Virtual Reality from electromyography and photoplethysmography using head-mounted wearable sensors.
… long collaboration with Emteq labs Ltd, a wearable technology company, we assisted in the development of a novel multimodal affect detection system, specifically tailored towards the requirements of VR. This thesis will describe the architecture of the system, the research studies that …
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Measuring college students' sleep, stress, mental health and wellbeing with wearable sensors and mobile phones
… physiological, behavioral and social data from wearable sensors and mobile phones with trait data such as personality, for learning about behaviors and traits that impact human health and wellbeing. This thesis also validates the methodology and tools on a selected subset of the questions that …
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Methods and good practice guidelines for human joint kinematics estimation through magnetic and inertial wearable sensors
… a key factor for the human well-being. From the wearable Magnetic and Inertial Measurement Units (MIMUs) signals it is possible to extract several digital mobility outcomes including the joint kinematics. To this end, it is first required to estimate the orientation of the MIMUs by means of a …
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Validating a Proposed Data Mining Approach (SLDM) for Motion Wearable Sensors to Detect the Early Signs of Lameness in Sheep
… outcome from treatment. The development of wearable sensor technologies enables the idea of remotely monitoring the changes in animal behaviours or movements which relate to lameness.<br/><br/>The aim of this thesis was to evaluate the feasibility and accessibility of a proposed data mining …
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Comparative Analysis of Machine Learning Algorithms on Activity Recognition from Wearable Sensors’ MHEALTH dataset Supported with a Comprehensive Process and Development of an Analysis Tool
Human activity recognition based on wearable sensors’ data is quite an attractive subject due to its wide application in the fields of healthcare, wellbeing and smart environments. This research is also focussed on predictive performance comparison of machine learning algorithms for activity …
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Methods for Generalized Low-Dimensional EEG Analysis Using Transfer Learning
… in automated sleep staging using at-home wearable sensors. A problem in developing automated sleep staging algorithms however is the lack of data available for wearable sensors. There is plenty of data available for in-hospital PSG, but very little for wearable sensors, as they aren't …
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Wearable Devices for Improved Equine Welfare
… periods, and measure vital parameters. These sensors leverage global positioning systems, accelerometers, magnetometers, goniometers, optics, among other emerging sensing technologies. The success of these devices has led to the introduction of various equine wearable sensors into market. …
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Analyzing Affective Responses to Virtual Spaces Using Physiological Sensors and Verbal Descriptions
… and subjective experiences. This thesis utilizes wearable sensors to collect and analyze human responses, especially emotions, when experiencing virtual spaces. It tests if the collected data can be used to predict users’ emotional responses to a spatial design in VR and to help architects design …
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Machine Learning Techniques for Gesture Recognition
… such as cameras, and active methods, such as wearable sensors. While passive methods might be the ideal, they are not always feasible, especially when dealing in unstructured environments. Instead, wearable sensors have gained interest as a method of gesture classification, especially in the …
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