Searched for: subject%3A%22HAR%22
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Li, J. (author)
Around 10% of the population will have to go through a catheterization procedure for the treatment of a cardiovascular disease at a certain stage of their lives. During such a procedure, smart catheters will be the "eyes and ears" of the surgeons, significantly improving the diagnosis and treatment. However, there have been very limited...
doctoral thesis 2024
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van der Linden, Bowien (author)
The objective of this thesis is to enhance existing harness designs, with a focus on reducing discomfort and enhancing overall performance.<br/>The contextual analysis, literature review, and desktop research yielded crucial insights and identified areas of improvement. Supplementary interviews were conducted with the user group. Initially,...
master thesis 2023
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Tebbens, Ricardo (author)
There is a raising demand for player statistics in the world of football. With the developments over the last years in wearable sensors, Human Activity Recognition (HAR) based on wearable IMU sensors can be used to tackle this problem. This thesis builds upon an earlier research done for this topic, where an end-to-end pipeline based on deep...
master thesis 2023
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Ding, Chuanwei (author), Zhang, Li (author), Chen, Haoyu (author), Hong, Hong (author), Zhu, Xiaohua (author), Fioranelli, F. (author)
Radar-based solutions have attracted great attention in human activity recognition (HAR) for their advantages in accuracy, robustness, and privacy protection. The conventional approaches transform radar signals into feature maps and then directly process them as visual images. While effective, these image-based methods may not be the best...
journal article 2023
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Mo, J. (author), Shankar, S. (author), Zhang, Kouchi (author), Vollebregt, S. (author)
Fabricating high-aspect-ratio (HAR) structures with silicon carbide (SiC) is a challenging task. This paper presents a silicon carbide (SiC) reinforced vertically aligned carbon nanotubes (VACNT) composite as a promising candidate to fabricate HAR MEMS devices for harsh environment applications. The use of a VACNT array allows the fast...
conference paper 2023
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Vaessen, Kasper (author)
Classification of sedentary activities using gaze tracking data can be of great use in fields such as teaching, human-computer interaction and surveilling. Conventional machine learning methods such as k-nearest neighbours, random forest and support vector machine might be used to classify such activities, but this requires knowledge about the...
bachelor thesis 2022
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Fioranelli, F. (author), Zhu, S. (author), Roldan Montero, I. (author)
Linked to the increasing availability of datasets for radar-based human activity recognition (HAR), in this Student Highlights contribution, we report on a classification project that a group of 23 graduate students performed at TU Delft. The students were asked to work in groups of 2-3 members and to use the publicly available University of...
journal article 2022
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Cuperman, Rafael (author), Jansen, K.M.B. (author), Ciszewski, M.G. (author)
Action statistics in sports, such as the number of sprints and jumps, along with the details of the corresponding locomotor actions, are of high interest to coaches and players, as well as medical staff. Current video-based systems have the disadvantage that they are costly and not easily transportable to new locations. In this study, we...
journal article 2022
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Li, Xinyu (author), He, Yuan (author), Fioranelli, F. (author), Jing, Xiaojun (author)
Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels...
journal article 2022
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Zhu, S. (author), Guendel, Ronny (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
Unconstrained human activities recognition with a radar network is considered. A hybrid classifier combining both convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for spatial–temporal pattern extraction is proposed. The 2-D CNNs (2D-CNNs) are first applied to the radar data to perform spatial feature extraction on the...
journal article 2022
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Cuperman Coifman, Rafael (author)
been given to Human Activity Recognition (HAR) based on signals obtained by IMUs placed on different body parts. This thesis studies the usage of Deep Learning-based models to recognize different football activities in an accurate, robust, and fast manner. Several deep architectures were trained with data captured with IMU sensors placed on...
master thesis 2021
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Guendel, Ronny (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Micro-Doppler spectrograms are a conventional data representation domain for movement recognition such as Human Activity Recognition (HAR) or gesture detection. However, they present the problem of time-frequency resolution trade-offs of Short-Time Fourier Transform (STFT), which may have limitations due to unambiguous Doppler frequency, and the...
journal article 2020
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Li, J. (author), Naaborg, Jeroen (author), Louwerse, Marcus (author), Henneken, Vincent (author), Eugeni, Carlo (author), Dekker, R. (author)
Our work presents embedded high-density oxide-nitride-oxide (ONO) trench capacitors for power supply decoupling in the next generation of smart catheters. These millimeter-scale smart catheters are using a novel integration platform, Flex-to-Rigid (F2R). In the F2R platform, various functional modules are fabricated or assembled on thin silicon...
conference paper 2020
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Poiesz, Niels (author)
Within the Dutch Sailing Organisation research concerning the trapeze harness has been limited. Before starting the research no concrete information concerning the interaction between a trapeze harness and the human body or important design requirements regarding the influence of new boat designs were documented. The purpose of this research was...
master thesis 2018
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Zhu, Z. (author), la Rocca, G. (author), van Tooren, M.J.L. (author)
Harness 3D routing is one of the most challenging steps in the design of aircraft Electrical Wiring Interconnection System (EWIS). This is due not only to the intrinsic complexity of the EWIS, but also to the increasing number of applying design constraints and its dependency on any change in the design of the airframe and installed systems....
journal article 2017
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Hichert, M. (author), Plettenburg, D.H. (author)
Background: Body-powered prosthesis users frequently complain about the poor cosmesis and comfort of the traditional shoulder harness. The Ipsilateral Scapular Cutaneous Anchor System offers an alternative, but it remains unclear to what extent it affects the perception and control of cable operation forces compared to the traditional shoulder...
journal article 2017
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Kluba, M.M. (author), Arslan, A. (author), Stoute, R. (author), Muganda, James (author), Dekker, R. (author)
This paper presents a new method for the CMOS compatible fabrication of microchannels integrated into a silicon substrate. In a single-step DRIE process (Deep Reactive Ion Etching) a network of microchannels with High Aspect Ratio (HAR) up to 10, can be etched in a silicon substrate through a mesh mask. In the same single etching step,...
conference paper 2017
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Zhu, Z. (author)
Harness 3D routing is one of the most challenging steps in the design of aircraft Electrical Wiring Interconnection System (EWIS), due to the intrinsic complexity of the EWIS, the increasing number of applying design constraints, and its dependency on the design changes of the airframe and installed systems. The current routing process employed...
doctoral thesis 2016
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Bouwmeester, J. (author), Langer, M (author), Gill, E.K.A. (author)
This paper provides results and conclusions on a survey on the implementation and reliability aspects of CubeSat bus interfaces, with an emphasis on the data bus and power distribution. It provides recommendations for a future CubeSat bus standard. The survey is based on a literature study and a questionnaire representing 60 launched CubeSats...
journal article 2016
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Gudfinnsdottir, T. (author)
Body-powered prostheses are active upper limb prostheses that utilize harnessing of body movements to grasp objects. The high rejection rates (up to 45%) of body-powered prostheses indicate that users are not satisfied with their prostheses. One of the most prominent problems is the discomfort experienced while wearing and operating the...
master thesis 2013
Searched for: subject%3A%22HAR%22
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