Searched for: subject%3A%22Human%255C+Activity%22
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Raizman, Omri (author)
As the population aged 65 and above increases, falls among these older adults emerge as a significant public health concern, leading to disabil- ities and economic burdens. Preventative strategies and personalized fall risk assessments are essential for mitigating fall risks. Human Activity Recognition in early fall risk detection by monitoring...
master thesis 2023
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Liu, Qingxin (author)
Most injuries in football occur in the lower extremities due to high muscle stress. To prevent such injuries, the Dutch Football Association (KNVB) and the Delft University of Technology developed the Smart Sensor Shorts, an inertial sensor-based tracking system measuring the athlete’s lower body kinematics, to improve physical load estimates...
master thesis 2023
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Mortensen, Isabella (author)
Post-war shopping malls in the Netherlands are becoming increasingly vacant, which is reflected in the level of activity of the public spaces. These retail-oriented places are becoming less visited as the main reason to come here disappears. This presents a challenge in a compact and densely populated country with a high space demand. With the...
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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Fenwick, Kayla (author)
Cooking is an essential part of most people’s day-to-day lives. It is a dynamic activity that involves multitasking, timing of tasks, and flexibility. However, the available instruction methods for cooks who wish to follow recipes are quite rigid and linear. This project aims to create a design solution that provides instructions in a way that...
master thesis 2023
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Focante, Edoardo (author)
In recent years, neural networks (NNs) have seen a surge in popularity due to their ability to model complex patterns and relationships in data. One of the challenges of using NNs is the requirement for large amounts of labelled data to train the model effectively. In many real-world applications such as radar, labelled data may be scarce due to...
master thesis 2023
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CORTES PERALTA, Max (author)
The challenge of dealing with patients suffering from chronic diseases and an aging population requires evolving from traditional hospital-based healthcare systems into a person-centered approach, where patients can be monitored remotely via modern technologies by cost-effective and reliable solutions based on emerging technologies in the...
master thesis 2022
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Guo, Zhongyuan (author)
Today, with increasingly aging population, healthcare systems in many countries need to improve their effectiveness, and the automatic HAR technology can be beneficial. This can provide early diagnosis of changes in behavioral patterns in the home environment, without hospitalization, and detect critical events such as falls in a timely manner....
master thesis 2022
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Vos, Jasper (author)
In the field of Visible Light Sensing, light sensors are used to extract information from objects which do not actively communicate any information. Previous research within this field proposed the system called SolAR, and proved the possibility of using a solar cell as both a power source and an activity sensor. A wrist mounted solar cell...
bachelor thesis 2022
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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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Brockbernd, Bob (author)
This research proposes a novel method to classify cognitive behavior based on eye-movement data. Most state-of-the-art approaches use conventional machine learning techniques needing manual feature extraction. This experiment explores the possibility of applying deep learning algorithms to cognitive activity recognition for feature extraction...
bachelor thesis 2022
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Christodoulakos, Miltiadis (author)
The scope of this thesis is set to examine the immediate relation of a city’s public spaces to the daily life of its citizens and portray how this relationship evolves. The location under examination is the city center of Athens, Greece. Specifically, focus will be given on two major public squares, namely Syntagma square and Omonia square....
student report 2022
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Zhao, Yubin (author)
Nowadays, the aging problem is shaking the root of the healthcare system in many countries, an automatic human activity recognition (HAR) is seen as a promising solution to that problem. In particular, radar-based HAR attracts people’s attention thanks to its respect for privacy and functionality in poor lighting conditions. With a lot of...
master thesis 2022
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Zhu, Simin (author)
Performing joint tracking and classification is the ultimate goal for many radar-based applications. For example, in indoor monitoring scenario, it is important to know the target's position as well as the related activities performed by that target. However, the literature often treats the joint problem independently due to its complexity. As a...
master thesis 2021
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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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Friđriksdóttir, Esther (author)
Physical activity and mobility are important indicators of the recovery process of patients in the general ward of the hospital. Currently, monitoring mobility of hospitalized patients relies largely on direct observation from the caregivers. Accelerometers have the potential to quantify physical activity of patients objectively and without...
master thesis 2019
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de Jong, Richard (author)
Persistent surveillance is an urgent proficiency. For security, surveillance cameras are a strong asset as they support the automatic tracking of people and are directly interpretable by a human operator. Radar on the other hand can be used under a broad range of circumstances: radar can penetrate mediums such as clouds, fogs, mist and snow, and...
master thesis 2019
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Kleingeld, Hajo (author)
Nowadays, 19% of the global energy consumption is used for lighting. For this reason, saving energy in lighting is vital. A simple way to save energy is to “simply” turn the lights off, or reduce the amount of light used when nobody is around. This thesis proposes a new method for luminaires to detect the presence of humans and objects which...
master thesis 2017
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Arkka Dhiratara, Arkka (author)
Understanding energy consumption behavior provide an insightful knowledge to improve energy efficiency, promote energy conservation, and importantly sustain the human life. However, currently energy consumption data are being gathered by (smart) energy meters at the household level or through surveys. While gathering data using smart meter is...
master thesis 2017
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Heimeriks, D.F.M. (author)
The position of multimodal transfer nodes, on the edge of the city, are of increasing importance in the contemporary daily (city) life. Transfer nodes are a moment of condensated movement in the mobile world, and do have a high potential of human activity and social interaction. The transfer node could functions as an urban node; a place for...
master thesis 2011
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