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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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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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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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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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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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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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Mazhar, O. (author), Ramdani, Sofiane (author), Cherubini, Andrea (author)Intuitive user interfaces are indispensable to interact with the human centric smart environments. In this paper, we propose a unified framework that recognizes both static and dynamic gestures, using simple RGB vision (without depth sensing). This feature makes it suitable for inexpensive human-robot interaction in social or industrial settings...journal article 2021
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Pallotta, Luca (author), Cauli, Michela (author), Clemente, Carmine (author), Fioranelli, F. (author), Giunta, Gaetano (author), Farina, Alfonso (author)In this paper a method capable of automatically classify radar signals of human hand-gestures exploiting the micro-Doppler signature is designed. In particular, the methodology focuses on the extraction of the Chebyshev moments from the cadence velocity diagram (CVD) of each recorded signal. The algorithm benefits from interesting properties of...conference paper 2021
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Islam, Shekh M. M. (author), Fioranelli, F. (author), Lubecke, Victor M. (author)COVID-19, caused by SARS-CoV-2, is now a global pandemic disease. This outbreak has affected every aspect of life including work, leisure, and interaction with technology. Governments around the world have issued orders for travel bans, social distancing, and lockdown to control the spread of the virus and prevent strain on hospitals. This paper...review 2021
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Ammerlaan, Jelle (author)Self-driving vehicles have shown rapid development in recent years and continue to move towards full autonomy. For high or full automation, self-driving vehicles will have to be able to address and solve a broad range of situations, one of which is interaction with traffic agents. For correct and save maneuvering through these situations,...master thesis 2020
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Ritchie, M. (author), Capraru, R. (author), Fioranelli, F. (author)Radar sensors have a new growing application area of dynamic hand gesture recognition. Traditionally radar systems are considered to be very large, complex and focused on detecting targets at long ranges. With modern electronics and signal processing it is now possible to create small compact RF sensors that can sense subtle movements over...journal article 2020
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Liu, Changjiang (author), Li, Y. (author), Ao, Dongyang (author), Tian, Haiyan (author)Radar sensors offer several advantages over optical sensors in the gesture recognition for remote control of electronic devices. In this paper, we investigate the feasibility of human gesture recognition using the spectra of radar measurement parameters. With the combination of radar theory and classification methods, we found that the...journal article 2019
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Pérez-Del-Pulgar, Carlos J. (author), Smisek, J. (author), Rivas-Blanco, Irene (author), Schiele, A. (author), Muñoz, Victor F. (author)Haptic guidance is a promising method for assisting an operator in solving robotic remote operation tasks. It can be implemented through different methods, such as virtual fixtures, where a predefined trajectory is used to generate guidance forces, or interactive guidance, where sensor measurements are used to assist the operator in real-time...journal article 2019
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