Predicting speaking status using full 9 Degrees Of Freedom Inertial MeasurementUnit (IMU) data

The goal for this paper is to find out what the smart badge provided by the Social Perceptive Computive Lab (SPCL) group is and what it contains. The sensors that are used in the smart badge are the Accelerometer, Gyroscope and Magnetometer. The main question of this paper is ”What is the benefit of using full 9-DOF IMU data in predicting...

Finding f-formations using dominant sets in the Bluetooth proximity data of the Conflab data set

When analysing social interactions, manual labour is often required to identify what is happening. An automated method of detecting who is interacting with who would already prove to be a significant help. This paper looks at how automated interaction detecting can be established. We look at methods of detecting proximity and look deeper into...

A rotation experiment on the Digital Motion Processor of the Midge

This thesis has researched how the Midge compares to a modern mobile phone regarding the accuracy and reliability of the rotation vector from the DMP in both devices. The rotation of the main axis of the Midge accurately matches that of the modern mobile phone, which means that the accuracy and reliability of the rotation vector from the DMP of...

Accuracy Comparison of Inertial Measurement Units (IMUs)

The Midge is a sensor device developed by the Socially Perceptive Computing Lab (SPCL) at Delft University of Technology (TU Delft). This device is used to monitor human behaviour in social settings using several sensors. In this paper, the accuracy of the Inertial Measurement Unit (IMU) chip used in the Midge sensor package was evaluated. The...

Generative algorithms to improve mental health issue detection

Schema therapy is a physiological treatment technique for mental health issues. Based on the thoughts and behaviour, patients are classified to a schema mode which represents their current state of mind. Automatically classifying these thoughts and behaviours could improve detection of potential mental health issues as well as provide better and...

The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features

Continuous affective self-reports are intrusive and expensive to acquire, forcing researchers to use alternative labels for the construction of their predictive models. The most predominantly used labels in literature are continuous perceived affective labels obtained using external annotators. However an increasing body of research indicates...

Conversation Quality: Modeling in Free-Standing Conversational Groups

Social interactions in general are multifaceted and there exists an wide set of factors and events that influence them. Hence, interactions as a social phenomena have been studied by researchers in the fields of psychology and social signal processing from different stand points. The common trend in literature is to perform an in-depth study on...

Automatic multimodal detection of team cohesion in meetings

In this thesis the automatic multimodal detection of social and task cohesion in meetings is studied. The presence of social and task cohesion has positive benefits on employee well-being, creativity and productiveness, and can therefore be used to assess meeting quality. Conversational partners imitate each other's body language and speech...

Semantic Alignment in Multiple Stages of Networks for Person Re-ID: Towards Generalizable Models

Person re-identification (re-ID) is a task that aims to associate the same people across different cameras. One of the many important problems a person re-ID system has to address in order to achieve good performance is the feature misalignment problem. Past research has attempted to address this problem by using attention networks, pose...

People Detection from Overhead Cameras: A study of impact of occlusion on performance

During the last decades, people detection has received great attention in computer vision and pattern recognition because of its various applications. Though there are thousands of papers provide approaches for people detection, most of them focus on datasets from side view. People detection from overhead cameras, as an important situation for...

Prediction of Team Cohesion, by examining prosodic mimicry in small group meetings

In this thesis the alignment of speech behavior between team members of small group meetings (3-8 people) and its relation to team cohesion is studied. Since team cohesion is highly related to effectiveness and productivity, automatically estimating cohesion can be a useful tool for assessing the meeting quality. This information can be fed back...