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van der Linden, Jesse (author)The increasing presence of robots calls for a more seamless and information-rich communication method between humans and robots. This paper explores how natural user interface (NUI) modalities, particularly speech and gesture controls, can be used through augmented reality (AR) to operate robots. The increasing presence of robots calls for...master thesis 2024
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Castro-Alonso, Juan C. (author), Ayres, Paul (author), Zhang, S. (author), de Koning, Björn B. (author), Paas, Fred (author)Research on embodied cognition acknowledges that cognitive processing is tightly coupled with bodily activities and the environment. An important implication for education is that learning can be enhanced when the brain, body, and environment mutually influence each other, such as when making or observing human actions, especially those...review 2024
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Juneja, Suchdeep Singh (author)In the ever-evolving field of music technology, new solutions continue to emerge that enhance musical expression and creativity. This thesis introduces WaveTune, a novel lightweight hand gesture recognition system that enables real-time control of musical composition and performance through natural hand motions.<br/><br/>WaveTune utilizes...master thesis 2023
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de Beer, Arne (author)This paper presents a study focused on developing an efficient signal processing pipeline and identifying suitable machine learning models for real-time gesture recognition using a testbed consisting of an Arduino Nano 33 BLE and three OPT101 photodiodes. Our research aims to address the challenges of limited computational power whilst...bachelor thesis 2023
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van den Broek, Sem (author)Visible light sensing is a field of research that creates new possibilities for human-computer interaction. This research shows the viability of designing a system for detecting hand gestures using a cost-effective detection circuit employing 3 light-sensitive photodiodes. The way this research shows viability is by developing a machine-learning...bachelor thesis 2023
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Smit, Winstijn (author)Touchless interaction with computers has become more important in recent years, especially in the context of the COVID-19 pandemic.<br/>Applications include situations where touch input is not possible or not desirable, e.g. for hygienic purposes in a public setting or a medical setting.<br/>Practical examples for touchless interaction include...bachelor thesis 2023
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Pronk, Paco (author)This study introduces a novel system that leverages three photodiodes and ambient light to identify air-written characters on a resource-constrained device. Through experimentation, suitable methods of data preprocessing, machine learning and model compression were selected to recognize the first 10 characters of the Latin alphabet. The final...bachelor thesis 2023
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Ma, Dong (author), Lan, G. (author), Hu, Changshuo (author), Hassan, Mahbub (author), Hu, Wen (author), Mushfika, Upama (author), Uddin, Ashraf (author), Youssef, Moustafa (author)We design a system, SolarGest, which can recognize hand gestures near a solar-powered device by analyzing the patterns of the photocurrent. SolarGest is based on the observation that each gesture interferes with incident light rays on the solar panel in a unique way, leaving its discernible signature in harvested photocurrent. Using solar...journal article 2023
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Goedemondt, Koen (author)This thesis describes the design and implementation of µLightDigit, which is the second iteration of the LightDigit project: a contactless air-writing system based on ambient light detection with embedded deep learning using only simple photodiodes. The system is able to classify digits 0–9 written in the air by detecting the dynamic hand shadow...master thesis 2022
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van Rossum, Alan (author)This research set out to find whether the use of gestures by virtual embodied agents could affect perceptions of integrity by humans. 48 participants played a quiz with the assistance of a gesturing and an idle agent. Likert scales were used to evaluate their perceptions of integrity, which showed no significant difference between either agent....master thesis 2022
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Narchi, William (author)This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...bachelor thesis 2022
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Veringa, Sanne (author)Microtask crowdsource workers are negatively influenced, mentally as well as physically, by the repetitive nature of the tasks they perform. Research is ongoing on whether using a gesture-based input technique could mitigate these negative effects. This paper identifies possible ways that using gestures as an alternative input modality could...bachelor thesis 2022
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Ajanidisz, Andris (author)Microtask crowdsourcing has grown in popularity in recent years. Microtasking is a form of crowdsourcing in which typically small, simple tasks are distributed over the Internet to a large number of people, also known as workers. Workers are highly susceptible to developing musculoskeletal disorders due to prolonged computer use and the...bachelor thesis 2022
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van de Water, Stijn (author)This paper describes the design of an adaptable, low-cost, and energy efficient gesture detection system. The system leverages the ambient light available in the environment to perform Visible Light Sensing (VLS) using powerful Convolutional Neural Networks. The focus lies on designing a system that is capable of robust gesture detection in any...bachelor thesis 2022
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Lipski, Matthew (author)Touching physical buttons to interact with public electronic devices has raised some concerns regrading disease transmission following the COVID-19 pandemic. The use of hand gestures as a touchless replacement sounds appealing, but comes with the challenge of recognizing which gesture is being performed by the user, with only the processing...bachelor thesis 2022
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Akadiri, Femi (author)Public technology has been shown to have a strong dependence on physical touch, which increases the transmission of diseases. Gesture recognition helps to reduce this transmission, as the dependence on physical touch is removed. Furthermore, the use of visible light for gesture recognition would reduce the power consumption of public technology,...bachelor thesis 2022
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Barantiev, Dimitar (author)There is a growing need for touch-free interaction with public utilities such as coffeemakers and vending machines that will help prevent the spread of diseases such as COVID-19. One solution is the integration of embedded gesture recognition systems relying on ambient light. However, existing work so far is found to be inefficient in terms of...bachelor thesis 2022
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El Hilali, Safouane (author)The health of micro-task crowdsourcing workers, also called crowdworkers, is something that is overlooked in the micro-task crowdsourcing literature. Due to repetitive tasks, they can develop Repetitive Strain Injuries. To look into other ways of navigating Crowdsourcing Work Environments (CSWEs) outside the mouse and keyboard paradigm, we...bachelor thesis 2022
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Dong, Xichao (author), Zhao, Zewei (author), Wang, Yupei (author), Zeng, Tao (author), Wang, J. (author), Sui, Yi (author)Recently, frequency-modulated continuous-wave (FMCW) radar-based hand gesture recognition (HGR) using deep learning has achieved favorable performance. However, many existing methods use extracted features separately, i.e., using one of the range, Doppler, azimuth, or elevation angle information, or a combination of any two, to train...journal article 2022
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van Nispen, K. (author), Sekine, Kazuki (author), van der Meulen, Ineke (author), Preisig, Basil C. (author)Co-speech hand gestures are an ubiquitous form of nonverbal communication, which can express additional information that is not present in speech. Hand gestures may become more relevant when verbal production is impaired, as in speakers with post-stroke aphasia. In fact, speakers with aphasia produce more gestures than non-brain damaged speakers...journal article 2022