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Dissertations / Theses on the topic 'Wearable Sensors'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Moustafa, Ahmed, and Johan Danmo. "Wearable Sensors in Prosthetic Socket." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263928.

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There is a great interest among researchers and clinicians to monitor pressure distributions within prosthetic sockets. Such an application may allow the assessment of the user's comfort and identify problematic areas inside the socket. The sensor that is used within such an application is the Force Sensitive Resistor (FSR). In our research, two types of those FSR's; QTSS (Quantum Technology Supersensor) prototype and Interlink FSR, were tested under different static and cyclic loading conditions to compare sensor properties namely hysteresis, drift and repeatability. The sensors were placed o

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2

Clarkson, Brian Patrick 1975. "Life patterns : structure from wearable sensors." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8030.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February 2003.<br>Includes bibliographical references (leaves 123-129).<br>In this thesis I develop and evaluate computational 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" wearable sensor stream is intimately connected to t

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Ojetola, O. "Detection of human falls using wearable sensors." Thesis, Coventry University, 2013. http://curve.coventry.ac.uk/open/items/93d006a7-540d-4ceb-8e19-df03e2f6c67f/1.

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Wearable sensor systems composed of small and light sensing nodes have the potential to revolutionise healthcare. While uptake has increased over time in a variety of application areas, it has been slowed by problems such as lack of infrastructure and the functional capabilities of the systems themselves. An important application of wearable sensors is the detection of falls, particularly for elderly or otherwise vulnerable people. However, existing solutions do not provide the detection accuracy required for the technology to gain the trust of medical professionals. This thesis aims to improv

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Besrour, Marouen. "Wearable electronic sensors for vital sign monitoring." Master's thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/29543.

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On propose dans ce mémoire un nouveau type de capteur pour la mesure des fonctions respiratoires et cardiaques à des fins médicales. Le système offre la possibilité de mesurer le rythme respiratoire et la profondeur de respiration et de transmettre les données vers une station locale pour une analyse plus poussé et un diagnostic. Le capteur proposé est basé sur une approche électromagnétique où on utilise deux antennes posées sur la cage thoracique du patient. Lorsque le patient inspire et expire l’air avec ses poumons, le diamètre de la cage thoracique de ce dernier va augmenter et par conséq

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Zellers, Brian Andrew. "3D Printed Wearable Electronic Sensors with Microfluidics." Youngstown State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1575874880525156.

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6

Bharti, Pratool. "Context-based Human Activity Recognition Using Multimodal Wearable Sensors." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/7000.

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In the past decade, Human Activity Recognition (HAR) has been an important part of the regular day to day life of many people. Activity recognition has wide applications in the field of health care, remote monitoring of elders, sports, biometric authentication, e-commerce and more. Each HAR application needs a unique approach to provide solutions driven by the context of the problem. In this dissertation, we are primarily discussing two application of HAR in different contexts. First, we design a novel approach for in-home, fine-grained activity rec

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Simoes, Mario Alves. "Feasibility of Wearable Sensors to Determine Gait Parameters." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3346.

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A wearable system that can be used in different settings to collect gait parameters on subjects with a mild traumatic brain injury (mTBI) would allow clinicians to collect needed data of subjects outside of the laboratory setting. Mild traumatic brain injuries stem from a number of causes such as illnesses, strokes, accidents or battlefield traumas. These injuries can cause issues with everyday tasks, such as gait, and are linked with vestibular dysfunction [1]. Different wearable sensor systems were analyzed prior to starting this study along with relevant gait parameters associated with mild

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8

Reyes, Sabrina Ensign. "Evaluating human-EVA suit injury using wearable sensors." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105623.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 81-82).<br>All the current flown spacesuits are gas pressurized and require astronauts to exert a substantial amount of energy in order to move the suit into a desired position. The pressurization of the suit therefore limits human mobility, causes discomfort, and leads to a variety of contact and strain injuries. While suit-related injuries have been observed for many years and some basic countermeasures h

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9

Ali, Syed Muhammad Raza. "Behaviour profiling using wearable sensors for pervasive healthcare." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/10929.

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In recent years, sensor technology has advanced in terms of hardware sophistication and miniaturisation. This has led to the incorporation of unobtrusive, low-power sensors into networks centred on human participants, called Body Sensor Networks. Amongst the most important applications of these networks is their use in healthcare and healthy living. The technology has the possibility of decreasing burden on the healthcare systems by providing care at home, enabling early detection of symptoms, monitoring recovery remotely, and avoiding serious chronic illnesses by promoting healthy living thro

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10

Dello, Preite Davide. "M-Health: analisi e sviluppo dei wearable sensors." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3092/.

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11

Junker, Holger. "Human activity recognition and gesture spotting with body-worn sensors /." Konstanz : Hartung-Gorre, 2005. http://www.loc.gov/catdir/toc/fy0608/2006356170.html.

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12

Palanisamy, Asha. "High Energy Density Battery for Wearable Electronics and Sensors." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480511507315736.

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13

AWAID, MOSTAFA. "Human upper limb movement assessment based on wearable sensors." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2015. http://hdl.handle.net/2108/211154.

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The advances in medical technologies have continued to improve diagnostic and measurement devices, eventually leading to better healthcare. Glove-based systems represent one of the most important efforts aimed at acquiring hand movement data. On the other hand, inertial motion sensor is the best device for biomechanics studies because it is transportable, small, low cost, ease to be set up and less burdensome to the subject. However, processing and accuracy of the data obtained are essential issues for research purposes. The work in this dissertation are divided into three studies as follow:

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14

MUSU, CLAUDIA. "Wearable sensors networks for safety applications in industrial scenarios." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266605.

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Industrial contexts, and in particular the port areas, are very complex systems to be monitored and controlled due to the combined presence of vehicles and people. The port areas are the gateway between navigation and terrestrial transportation and are of great importance in transport logistics. Unfortunately, the management of port areas is quite complex because the safety of the workers must be always assured. Therefore, in such a context, a centralized control system for the monitoring and the prevention of risks is of particular importance. In this thesis, a real-time control system

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15

Guinovart, Pavón Tomàs de Aquino. "Addressing emerging paradigms in chemical analysis: new platforms for wearable and decentralized sensors." Doctoral thesis, Universitat Rovira i Virgili, 2015. http://hdl.handle.net/10803/401830.

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L’objectiu principal d’aquesta tesi és l’exploració de noves fronteres en l’àrea de sensors químics. Primerament, a través del desenvolupament de nous enfocs per construir sensors químics vestibles. Seguidament, a través de la generació de noves maneres de sensar electròlits en mostres reals. La potenciometria i la detecció òptica seran les tècniques utilitzades. L’ús de la potenciometria cap al 1900, amb els elèctrodes selectius de ions (ESI), ha anat canviant i la revolució va començar amb la miniaturització d’aquests ESI amb l’aparició de la necessitat de sensors per monitoritzar el nostr

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OTTIKKUTTI, SURANJAN RAM. "Effective Optimization of Deployment for Wearable Sensors in Transfemoral Prosthesis." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289478.

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Transfemoralor above-the-knee amputees face discomfort in their prothesis primarily due to irregular distribution of pressure and shear forces in the Socket-stump interface (SSI). To quantify this discomfort it is necessary to first determine the pressure distribution in the SSI using sensors. However, knowledge of how sensors should be deployed is necessary to support the testing of said pressure on a test-rig or amputee. Previous methods used to determine sensor placement include discretization of the SSI into several regions or the use of a reiterative method based on pressure readings from

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Parrilla, Pons Marc. "New Electrochemical Sensors for Decentralized Analysis." Doctoral thesis, Universitat Rovira i Virgili, 2016. http://hdl.handle.net/10803/396297.

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Nous sensors electroquímics per a analisis decentralitzats és una tesis que emmarca diferents aspectes del desenvolupament de sensors potenciomètrics, des de la seva fabricació, el diseny adequat, i finalment, la seva aplicabilitat en escenaris reals. En el context actual, l'evolució de la tecnologia, especialment l'aparició a nivell global d'internet, i la disponibilitat d'aquesta a baix cost han permès la creació d'eines que ens permeten connectar el món físic i, en el cas d'aquesta tesis, el món químic a la xarxa. Aquesta connexió aporta un nou grau dins l'escala de valor per a la societat

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18

Wong, Charence Cheuk Lun. "Fusion of wearable and visual sensors for human motion analysis." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/28630.

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Human motion analysis is concerned with the study of human activity recognition, human motion tracking, and the analysis of human biomechanics. Human motion analysis has applications within areas of entertainment, sports, and healthcare. For example, activity recognition, which aims to understand and identify different tasks from motion can be applied to create records of staff activity in the operating theatre at a hospital; motion tracking is already employed in some games to provide an improved user interaction experience and can be used to study how medical staff interact in the operating

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19

BORZI', LUIGI. "Wearable sensors and artificial intelligence for monitoring of Parkinson's disease." Doctoral thesis, Politecnico di Torino, 2023. https://hdl.handle.net/11583/2975707.

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20

Vatankhah, Varnoosfaderani Mohammad. "Efficient Antennas for Wearable Wireless Sensor Nodes." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/366335.

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Wearable wireless sensors are a part of human life in the future for applications such as healthcare, sports, navigating, security etc. The number of wearable wireless sensors for fitness and healthcare applications will reach 90 million shipments by 2017 base on ABI research report [1]. The IEEE Standard 802.15.6 for local and metropolitan area networks, part 15.6, “Wireless Body Area Networks” was published on February 2012 to specify the short range wireless communication in the vicinity or inside of the human body [2]. This shows the importance of research needed to maximize the quality of

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21

Ollander, Simon. "Wearable Sensor Data Fusion for Human Stress Estimation." Thesis, Linköpings universitet, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122348.

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With the purpose of classifying and modelling stress, different sensors, signal features, machine learning methods, and stress experiments have been compared. Two databases have been studied: the MIT driver stress database and a new experimental database, where three stress tasks have been performed for 9 subjects: the Trier Social Stress Test, the Socially Evaluated Cold Pressor Test and the d2 test, of which the latter is not classically used for generating stress. Support vector machine, naive Bayes, k-nearest neighbor and probabilistic neural network classification techniques were compared

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Charlton, Peter Harcourt. "Continuous respiratory rate monitoring to detect clinical deteriorations using wearable sensors." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/continuous-respiratory-rate-monitoring-to-detect-clinical-deteriorations-using-wearable-sensors(43821666-f390-4cab-9cd2-691c2a5a5fe3).html.

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23

Lara, Yejas Oscar David. "On the Automatic Recognition of Human Activities using Heterogeneous Wearable Sensors." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4120.

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Delivering accurate and opportune information on people's activities and behaviors has become one of the most important tasks within pervasive computing. Its wide spectrum of potential applications in medical, entertainment, and tactical scenarios, motivates further research and development of new strategies to improve accuracy, pervasiveness, and eciency. This dissertation addresses the recognition of human activities (HAR) with wearable sensors in three main regards: In the rst place, physiological signals have been incorporated as a new source of information to improve the recognition accur

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Yilmaz, Tuba. "Wearable RF sensors for non-invasive detection of blood-glucose levels." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8765.

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Radio frequency (RF) techniques have the potential to provide blood glucose readings through sensing the glucose dependent change in dielectric properties of the biological tissue. Such technique can enable much desired non-invasive and continuous monitoring of blood glucose level. In this work, we present realistic glucose dependence of dielectric properties as well as basic understanding of resonator behaviour while radiating towards the lossy biological tissue. To investigate the potential of RF techniques, two resonators, operating at microwave frequencies when placed radiating towards the

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Lapinski, Michael Tomasz. "A platform for high-speed biomechanical analysis using wearable wireless sensors." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/91852.

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Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.<br>116<br>Page 276 blank. Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 263-275).<br>Humanity's desire to capture and understand motion started in 1878 and has continually evolved. Today, the best-of- breed technology for capturing motion are marker based optical systems that leverage high speed cameras. While these systems are excellent at providing positional information, they suffer from an innate inability to accurately

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Early, Jared W. Early. "Business Opportunity Analysis of Wearable and Wireless Electromyography Sensors in Athletics." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1470652934.

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Adamowicz, Lukas. "Functional Rotation Axis Based Approach for Estimating Hip Joint Angles Using Wearable Inertial Sensors: Comparison to Existing Methods." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1044.

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Wearable sensors are at the heart of the digital health revolution. Integral to the use of these sensors for monitoring conditions impacting balance and mobility are accurate estimates of joint angles. To this end a simple and novel method of estimating hip joint angles from small wearable magnetic and inertial sensors is proposed and its performance is established relative to optical motion capture in a sample of human subjects. Improving upon previous work, this approach does not require precise sensor placement or specific calibration motions, thereby easing deployment outside of the resear

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Araujo, William Reis de. "Desenvolvimento de sensores eletroquímicos e colorimétricos para aplicações em amostras de interesse forense." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/46/46136/tde-18082016-084906/.

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Esta tese apresenta os estudos e esforços visando ao desenvolvimento de sensores químicos para aplicações diversas na área forense. Foram desenvolvidos métodos eletroanalíticos para detecção e quantificação de alguns compostos comumente encontrados na adulteração de amostras de drogas de abuso (procaína, fenacetina, aminopirina, paracetamol, levamisol), além da cocaína e estudos fundamentais sobre o comportamento eletroquímico desses compostos. Empregaram-se também métodos eletroquímicos para quantificação de compostos tóxicos e perigosos como explosivos (ácido pícrico) e melamina por exemplo.

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Martori, Amanda Lynn. "A Wearable Motion Analysis System to Evaluate Gait Deviations." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4724.

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A Wearable Motion Analysis System (WMAS) was developed to evaluate gait, particularly parameters that are indicative of mild traumatic brain injury. The WMAS consisted on six Opal IMUs attached on the sternum, waist, left and right thigh and left and right shank. Algorithms were developed to calculate the knee flexion angle, stride length and cadence parameters during slow, normal and fast gait speeds. The WMAS was validated for repeatability using a robotic arm and accuracy using the Vicon motion capture system, the gold standard for gait analysis. The WMAS calculated the gait parameters t

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Redhouse, Amanda Jean. "Joint Angle Estimation Method for Wearable Human Motion Capture." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103629.

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This thesis presents a method for estimating the positions of human limbs during motion that can be applied to wearable, textile-based sensors. The method was validated for the elbow and shoulder joints with data from two garments with resistive, thread-based sensors sewn into the garments at multiple locations. The proposed method was able to estimate the elbow joint position with an average error of 2.2 degrees. The method also produced an average difference in Euclidean distance of 3.7 degrees for the estimated shoulder joint position using data from nine sensors placed around the subject's

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Bergelin, Victor. "Human Activity Recognition and Behavioral Prediction using Wearable Sensors and Deep Learning." Thesis, Linköpings universitet, Matematiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138064.

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When moving into a more connected world together with machines, a mutual understanding will be very important. With the increased availability in wear- able sensors, a better understanding of human needs is suggested. The Dart- mouth Research study at the Psychiatric Research Center has examined the viability of detecting and further on predicting human behaviour and complex tasks. The field of smoking detection was challenged by using the Q-sensor by Affectiva as a prototype. Further more, this study implemented a framework for future research on the basis for developing a low cost, connected

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Salvo, Pietro [Verfasser]. "Development of wearable sensors to measure sweat rate and conductivity / Pietro Salvo." München : GRIN Verlag GmbH, 2012. http://d-nb.info/1066507783/34.

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Dang, Wenting. "Stretchable interconnects for smart integration of sensors in wearable and robotic applications." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/40994/.

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Stretchable electronic systems are needed in realising a wide range of applications, such as wearable healthcare monitoring where stretching movements are present. Current electronics and sensors are rigid and non-stretchable. However, after integrating with stretchable interconnects, the overall system is able to withstand a certain degree of bending, stretching and twisting. The presence of stretchable interconnects bridges rigid sensors to stretchable sensing networks. In this thesis, stretchable interconnects focusing on the conductive polymer Poly (3,4-ethylenedioxythiophene): poly (4-sty

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Feng, Ziang. "Wearable Power Sources and Self-powered Sensors Based on the Triboelectric Nanogenerators." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/103020.

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The triboelectric nanogenerator (TENG) has attracted global attention in the fields of power sources and self-powered sensors. By coupling the omnipresent triboelectrification effect and the electrical induction effect, the TENGs can transduce ambient mechanical energy into electrical energy. Such energy could be consumed instantaneously or stored for later use. In this way, they could be deployed distributedly to be compatible power sources in the era of the internet of things (IoTs), completing the powering structure that is currently relying on power plants. Also, the electrical signals can

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Purkis, Tamsin Leigh. "Development and Validation of the Pre- and Post-Processing Algorithms for Quantitative Gait Analysis using a Prototype Wearable Sensor System." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/64317.

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Walking is the most common form of human locomotion and the systematic study thereof is known as gait analysis. Measurement and assessment thereof have application in many fields including clinical diagnosis, rehabilitation and biomechanics. The process of gait evaluation is typically done using an optical motion analysis system combined with stationary force platforms. This is considered the gold standard, but unfortunately, has several drawbacks. It is expensive, requires dedicated laboratories with spatial restrictions, calls for lengthy set up and post-processing times and cannot be used i

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McGinnis, Ellen, Ryan McGinnis, Jessica Hruschak, et al. "Wearable Sensors Outperform Behavioral Coding as Valid Marker of Childhood Anxiety and Depression." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/7702.

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There is a significant need to develop objective measures for identifying children under the age of 8 who have anxiety and depression. If left untreated, early internalizing symptoms can lead to adolescent and adult internalizing disorders as well as comorbidity which can yield significant health problems later in life including increased risk for suicide. To this end, we propose the use of an instrumented fear induction task for identifying children with internalizing disorders, and demonstrate its efficacy in a sample of 63 children between the ages of 3 and 7. In so doing, we extract object

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Prahl, Anne. "Designing wearable sensors for Preventative Health : an exploration of material, form and function." Thesis, University of the Arts London, 2015. http://ualresearchonline.arts.ac.uk/9077/.

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The financial burden on global healthcare systems has reached unprecedented levels and as a result, attention has been shifting from the traditional approach of disease management 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, detection and monitoring system that could integrate easily into their existing lives. The research aims to generate new practical k

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Perumal, Shyam Vignesh. "Gait and Tremor Monitoring System for Patients with Parkinson’s Disease Using Wearable Sensors." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6353.

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Typically, a Parkinson’s disease (PD) patient would display instances of tremor and bradykinesia (slowness of movement) at an early stage of the disease and later develop gait disturbances and postural instability. So, it is important to measure the tremor occurrences in subjects to detect the onset of PD. Also, it is equally essential to monitor the gait impairments that the patient displays, as the order at which the PD symptoms appear in subjects vary from one to another. The primary goal of this thesis is to develop a monitoring system for PD patients using wearable sensors. To achieve tha

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Sole, C. J., Caleb D. Bazyler, Ashley A. Kavanaugh, Satoshi Mizuguchi, and Michael H. Stone. "Relationship between Internal and External Estimates of Training Load Using Wearable Inertial Sensors." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/3837.

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PURPOSE: The purpose of the study was to examine the relationship between an external estimate of training load obtained from a wearable accelerometer device and perceived training load in women’s volleyball. METHODS: Participants of this study were thirteen NCAA Division I women’s volleyball players (Age: 20.3±1.2 y, height: 174.9±7.9cm, body mass: 68.1±12.7 kg). A wearable accelerometer device (Catapult Sports, MiniMaxX S4) was used to estimate external training load during volleyball practice sessions. In addition, following each session a rating of perceived exertion was obtained from each

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Trojaniello, Diana <1986&gt. "Assessment of gait spatio-temporal parameters in neurological disorders using wearable inertial sensors." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7122/1/Trojaniello_Diana_tesi.pdf.

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Movement analysis carried out in laboratory settings is a powerful, but costly solution since it requires dedicated instrumentation, space and personnel. Recently, new technologies such as the magnetic and inertial measurement units (MIMU) are becoming widely accepted as tools for the assessment of human motion in clinical and research settings. They are relatively easy-to-use and potentially suitable for estimating gait kinematic features, including spatio-temporal parameters. The objective of this thesis regards the development and testing in clinical contexts of robust MIMUs based methods

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Trojaniello, Diana <1986&gt. "Assessment of gait spatio-temporal parameters in neurological disorders using wearable inertial sensors." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7122/.

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Movement analysis carried out in laboratory settings is a powerful, but costly solution since it requires dedicated instrumentation, space and personnel. Recently, new technologies such as the magnetic and inertial measurement units (MIMU) are becoming widely accepted as tools for the assessment of human motion in clinical and research settings. They are relatively easy-to-use and potentially suitable for estimating gait kinematic features, including spatio-temporal parameters. The objective of this thesis regards the development and testing in clinical contexts of robust MIMUs based methods

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Zambrano, Ericsson Ocas, Kemeli Reyes Munoz, Jimmy Armas-Aguirre, and Paola A. Gonzalez. "Technological Architecture with Low Cost Sensors to Improve Physical Therapy Monitoring." IEEE Computer Society, 2020. http://hdl.handle.net/10757/656576.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>In this article, we propose a wireless monitoring solution for gait parameters using low-cost sensors in the physical rehabilitation of patients with gait disorders. This solution consists of infrared speed sensors (IRSS), force-sensing Resistor (FSR) and microcontrollers placed in a walker. These sensors collect the pressure distribution on the walker's handle and the speed of the steps during therapy session. The proposal allows to improve th

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Siirtola, P. (Pekka). "Recognizing human activities based on wearable inertial measurements:methods and applications." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526207698.

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Abstract Inertial sensors are devices that measure movement, and therefore, when they are attached to a body, they can be used to measure human movements. In this thesis, data from these sensors are studied to recognize human activities user-independently. This is possible if the following two hypotheses are valid: firstly, as human movements are dissimilar between activities, also inertial sensor data between activities is so different that this data can be used to recognize activities. Secondly, while movements and inertial data are dissimilar between activities, they are so similar when dif

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Possanzini, Luca. "Mechanical and electrical characterization of wearable textile pressure and strain sensors based on PEDOT:PSS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14801/.

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Il termine tecnologia indossabile si riferisce a quei dispositivi elettronici incorporati negli indumenti od accessori che possono essere comodamente indossati. Essi sono ampiamente utilizzati in campo medico, sportivo, educativo o per monitorare disabilità. In questa tesi sono stati sviluppati sensori di pressione e di deformazione tessili, proponendo il modello teorico che ne descrive il comportamento. L'elemento attivo di tali sensori tessili è basato sul polimero intrinsecamente conduttivo (PEDOT:PSS). La soluzione conduttiva è stata depositata sui tessuti tramite il metodo drop-ca

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Huynh, Duy Tâm Gilles. "Human Activity Recognition with Wearable Sensors." Phd thesis, 2008. https://tuprints.ulb.tu-darmstadt.de/1132/1/Dissertation_Tam_Huynh.pdf.

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This thesis investigates the use of wearable sensors to recognize human activity. The activity of the user is one example of context information -- others include the user's location or the state of his environment -- which can help computer applications to adapt to the user depending on the situation. In this thesis we use wearable sensors -- mainly accelerometers -- to record, model and recognize human activities. Using wearable sensors allows continuous recording of activities across different locations and independent from external infrastructure. There are many possible applications for a

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Liu, Fang Ting, and 劉芳廷. "Gesture Recognition with Wearable 9-axis Sensors." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/k5afp4.

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碩士<br>國立清華大學<br>電機工程學系<br>105<br>Gesture recognition is a topic in computer science with the goal of describing human gestures through mathematical algorithms in recent year. In the field of hand gesture recognition,it apply in many kinds of technologies such as mobile phone applications, wearable wireless devices, sports detection, video game or art combination. In this thesis, we will record signals of eight kinds of hand movements into computer using wearable wireless device with nine axis sensor (including accelerometer, gyroscope and magnetometer) worn on the wrist, then recognized gest

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Tomé, Ana Filipa Soares. "Soft Sensors for Soft and Wearable Robots." Master's thesis, 2014. http://hdl.handle.net/10316/28014.

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Dissertação de Mestrado Integrado em Engenharia Biomédica apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>With a growing need for safer human-robot interactions and taking the human skin properties as biological inspiration, the technological field of soft sensors has grown considerably in the last few years. Conventional tactile sensors integrated on robot gripers are nowadays available in multiple formats. Nonetheless, most of the tasks performed by robots demand complex rotational movements. Sensors adaptable to their host can turn robotic devices into saf

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林世祐. "Action Surveillance Using Sparse Wearable Inertial Sensors." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/50200252692004396811.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>101<br>Motion reconstruction from sensor data is a notable research field. In this thesis, we present a framework to reconstruct full-body human motion by four to five inertial sensors that attached to the user’s four limbs and torso. Based on the gathered data, we construct an online k-dimensional tree (kd-tree) index structure which consists of hundred thousands of frames, and find the most appropriate motion fragment as user’s current full-body motion. However, the sparse and noisy sensing data cause high ambiguity for our motion estimation. It then results in

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Kedambaimoole, Vaishakh. "Wearable Sensors using Solution Processed 2D Materials." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4920.

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Wearable sensors, as the name implies, are devices that can be donned onto the body in order to continuously detect, monitor and analyze various signals generated by the subject and the immediate surroundings. Applications of these sensors span over the vast domains of healthcare, athletics, automation and robotics. Conventional wafer-based electronics are brittle and rigid. Wearable devices demand new materials that provide mechanical liberty in terms of flexibility and stretchability with superior functionalities. When the physical dimensions of materials are reduced to the nano scale r

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Chua, Jason Yap Moore Carl A. "Design of a wearable cobot." Diss., 2006. http://etd.lib.fsu.edu/theses/available/etd-03012006-152943.

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Thesis (M.S.)--Florida State University, 2006.<br>Advisor: Carl A. Moore, Florida State University, College of Engineering, Dept. of Mechanical Engineering. Title and description from dissertation home page (viewed June 8, 2006). Document formatted into pages; contains x, 107 pages. Includes bibliographical references.

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