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Bērmans, Boriss (author)
Detecting nearby vehicles involves utilizing data from various sensors installed on a car as it moves. Common sensors for identifying nearby vehicles include LiDAR, cameras, and RADAR. However, all of these sensors suffer from the same issue -- they cannot detect an approaching vehicle that is not yet visible. Hence, this thesis explores the...
master thesis 2024
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Oudhuis, Waded (author)
Computers having the ability to estimate intentions to speak can improve human-computer interaction. While plenty of research has been done on next-speaker prediction, they differ from intentions to speak since these rely only on the person themselves. Previous research was done on inferring intentions to speak using accelerometer data with some...
bachelor thesis 2023
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Tang, Luning (author)
Everyone has the intention to speak sometimes. Allowing agents to estimate people's intention of speaking can increase conversation efficiency and engagement. The intention of speaking can be expressed by multiple modalities as social cues. In order to add value to existing accelerometer-based research, this research aims to build a model on...
bachelor thesis 2023
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Yildiz, Ferhan (author)
This research paper implements, evaluates, and compares two approaches, a machine learning (ML) approach and a rule-based approach, aimed to estimate intentions to speak. The ML approach trains lexical information extracted from time windows surrounding speech events. The rule-based approach looks for specific keywords or utterances to identify...
bachelor thesis 2023
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van Marken, Julie (author)
This research aims to answer the question whether non-verbal vocal behavior can be used to estimate intention to speak. To answer this question data from a dutch social networking event is used to gather intentions to speak. The intentions to speak are split up in two categories: successful and unsuccessful intentions. The unsuccessful...
bachelor thesis 2023
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Achy, Nils (author)
This research paper proposes a deep learning model to infer segments of speaking intentions using body language captured by a body-worn accelerometer. The objective of the study is to detect instances where individuals exhibit a desire to speak based on their body language cues. The labeling scheme employed is a binary string, with “0”...
bachelor thesis 2023
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Nguyen, Vivian (author)
Tracking food intake provides a valuable source of information to gain insights in dietary habits for the health industry. Currently, the main method to track food intake to is do it manually. To take a step towards tracking food intake manually, this these aims to answer the following research question: ”How to detect chewing episodes with an...
bachelor thesis 2023
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El Attar, Bilal (author)
How people behave in social interactions is influenced by a multitude of factors. A large part of human communication is embedded within non-verbal communication. This type of communication is sent throughout social signals, that are embodied within low-level social cues (e.g. gaze, posture, gestures). In order for intelligent systems to...
master thesis 2022
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Fregonara, Matteo (author)
With the development of new technologies and approaches in the field of social signal processing, concerns regarding privacy around recording conversations have arised. One of the main ways to preserve the privacy of the speakers in recorded conversations consists of decimating said conversations, which consists of reducing the sample frequency...
bachelor thesis 2022
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Alonso Arenaza, Lucia (author)
Living in a world where every single electronic device is online and interconnected, privacy is a growing concern. Finding the threshold where audio is unintelligible to transcription software is crucial when everything that we say can be recorded. Even if Automated Speech Recognition (ASR) is used in tools, such as Siri or Alexa, designed to...
bachelor thesis 2022
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Vunderink, Pepijn (author)
With widespread use of advanced technology for the recording, storing and sharing of social interactions, protecting privacy of people has been a growing concern. This paper zooms in on the collection of spoken audio with regard for the privacy of recorded individuals. Recently efforts have been made to collect audio at a low sampling rate to...
bachelor thesis 2022
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Uno, Taichi (author)
The interactions between human and machines are now common in our daily life. The audio data of human communication is a rich source of information, but it is con- sidered privacy-invasive for machines to listen to it. By reducing sampling frequency, it is possible to preserve privacy by making conversation unclear while still being possible to...
bachelor thesis 2022
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Kargul, Radek (author)
Spending time in front of screens has become an inescapable activity, which might be interrupted by unrelated external causes. While automatic approaches to identify mind-wandering (MW) have already been investigated, past research was done with self-reports or physiological data. This work explores automated detection utilizing solely facial...
bachelor thesis 2022
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Zwanenburg, Ardy (author)
In our daily life people encounter many social interactions, for example in the supermarket, at work and in schools. Currently the most reliable way to find social interactions in groups, is to manually annotate the data. Manual annotation takes a lot of time and human resources and as the information stream goes faster and faster, the manual...
bachelor thesis 2022
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Kārkliņš, Andrejs (author)
The aim of this research is to discuss if it is possible or feasible enough to detect Mind-wandering of individuals using their hand and body movements from video recordings. The basis for this research is “Mementos”[9] data set, containing over 2000 recordings of people watching music videos. During experiment videos from data set were used to...
bachelor thesis 2022
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de Kort, Jokubas (author)
The Socially Perceptive Computing Lab (SPCL) at Delft University of Technology has developed a device called the Midge. The aim of this device is to record data of social interactions at conferences. This paper aims to characterise how battery life is affected by different sensor settings on the Midge as well as how much data is generated in a...
bachelor thesis 2022
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Symeonidis, Iasonas (author)
Mind-wandering happens when one's current train of thought, related to a specific task, is interrupted, due to internal disconnected thoughts. This phenomenon is highly subjective, and its detection is really important due to the internal understanding of the human mind that can be obtained. Several methods have been used in order to detect mind...
bachelor thesis 2022
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van Dijk, Max (author)
Mind wandering is a phenomenon that is used to describe moments where a person's attention appears to shift away to something that is not related to the primary task, which can have a negative influence on the task performance. In this research, the aim is to create a viable algorithm that can automatically detect mind wandering based on eye...
bachelor thesis 2022
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Kempen, Leon (author)
The Midge is a wearable badge created by the Socially Perceptive Computing Lab, Pattern Recognition and Bioinformatics group of the Delft University of Technology, with as goal to analyse human behaviour. The badge has a digital motion processor (DMP) that can determine its orientation. This DMP makes use of an inertial measurement unit (IMU),...
bachelor thesis 2022
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Demi, Arbër (author)
Mind wandering occurs when a person’s attention unintentionally shifts away from their current thought or task. Being able to automatically detect cases of mind wandering can assist applications with attention retention, and help people with maintaining focus. Many methods have been tested to deal with mind-wandering detection, but they are...
bachelor thesis 2022
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