Honours Project
Honours Project
Honours Project
Honours Project
Honours Project
Honours Project
Honours Project
Physiologically Adaptive Horror Game
Physiologically Adaptive
Physiologically Adaptive Horror Game
Physiologically Adaptive Horror Game
Physiological Detection
Physiologically Adaptive Horror Game
Physiologically Adaptive Horror Game
Physiologically Adaptive Horror Game
About
For my final university project, the aim was to investigate the effectiveness of emotion recognition in adaptive game testing by combining facial emotion detection with physiological data in the form of heart rate monitoring. I developed a horror game that dynamically adapts to the player's fear level. The system calculates this fear level by combining two sources of data: the player's displayed emotion, captured through a webcam and analysed using a CNN model that I created and trained, and their heart rate, measured using a pulse sensor attached to their finger. When the player's fear level falls below a set threshold, the game responds by triggering visual effects and audio cues designed to increase tension and guide the player towards the desired fear level. Throughout gameplay, the system records the collected data in a table, including any triggered events and the player's fear level before and after each event.
About
For my final university project, the aim was to investigate the effectiveness of emotion recognition in adaptive game testing by combining facial emotion detection with physiological data in the form of heart rate monitoring. I developed a horror game that dynamically adapts to the player's fear level. The system calculates this fear level by combining two sources of data: the player's displayed emotion, captured through a webcam and analysed using a CNN model that I created and trained, and their heart rate, measured using a pulse sensor attached to their finger. When the player's fear level falls below a set threshold, the game responds by triggering visual effects and audio cues designed to increase tension and guide the player towards the desired fear level. Throughout gameplay, the system records the collected data in a table, including any triggered events and the player's fear level before and after each event.
About
For my final university project, the aim was to investigate the effectiveness of emotion recognition in adaptive game testing by combining facial emotion detection with physiological data in the form of heart rate monitoring. I developed a horror game that dynamically adapts to the player's fear level. The system calculates this fear level by combining two sources of data: the player's displayed emotion, captured through a webcam and analysed using a CNN model that I created and trained, and their heart rate, measured using a pulse sensor attached to their finger. When the player's fear level falls below a set threshold, the game responds by triggering visual effects and audio cues designed to increase tension and guide the player towards the desired fear level. Throughout gameplay, the system records the collected data in a table, including any triggered events and the player's fear level before and after each event.
About
For my final university project, the aim was to investigate the effectiveness of emotion recognition in adaptive game testing by combining facial emotion detection with physiological data in the form of heart rate monitoring. I developed a horror game that dynamically adapts to the player's fear level. The system calculates this fear level by combining two sources of data: the player's displayed emotion, captured through a webcam and analysed using a CNN model that I created and trained, and their heart rate, measured using a pulse sensor attached to their finger. When the player's fear level falls below a set threshold, the game responds by triggering visual effects and audio cues designed to increase tension and guide the player towards the desired fear level. Throughout gameplay, the system records the collected data in a table, including any triggered events and the player's fear level before and after each event.
About
For my final university project, the aim was to investigate the effectiveness of emotion recognition in adaptive game testing by combining facial emotion detection with physiological data in the form of heart rate monitoring. I developed a horror game that dynamically adapts to the player's fear level. The system calculates this fear level by combining two sources of data: the player's displayed emotion, captured through a webcam and analysed using a CNN model that I created and trained, and their heart rate, measured using a pulse sensor attached to their finger. When the player's fear level falls below a set threshold, the game responds by triggering visual effects and audio cues designed to increase tension and guide the player towards the desired fear level. Throughout gameplay, the system records the collected data in a table, including any triggered events and the player's fear level before and after each event.
About
For my final university project, the aim was to investigate the effectiveness of emotion recognition in adaptive game testing by combining facial emotion detection with physiological data in the form of heart rate monitoring. I developed a horror game that dynamically adapts to the player's fear level. The system calculates this fear level by combining two sources of data: the player's displayed emotion, captured through a webcam and analysed using a CNN model that I created and trained, and their heart rate, measured using a pulse sensor attached to their finger. When the player's fear level falls below a set threshold, the game responds by triggering visual effects and audio cues designed to increase tension and guide the player towards the desired fear level. Throughout gameplay, the system records the collected data in a table, including any triggered events and the player's fear level before and after each event.
About
For my final university project, the aim was to investigate the effectiveness of emotion recognition in adaptive game testing by combining facial emotion detection with physiological data in the form of heart rate monitoring. I developed a horror game that dynamically adapts to the player's fear level. The system calculates this fear level by combining two sources of data: the player's displayed emotion, captured through a webcam and analysed using a CNN model that I created and trained, and their heart rate, measured using a pulse sensor attached to their finger. When the player's fear level falls below a set threshold, the game responds by triggering visual effects and audio cues designed to increase tension and guide the player towards the desired fear level. Throughout gameplay, the system records the collected data in a table, including any triggered events and the player's fear level before and after each event.
Project Info
Engine: Unity Time Frame: 6 Months
Project Info
Engine: Unity Time Frame: 6 Months
Project Info
Engine: Unity Time Frame: 6 Months
Project Info
Engine: Unity Time Frame: 6 Months
Project Info
Engine: Unity Time Frame: 6 Months
Project Info
Engine: Unity Time Frame: 6 Months
Project Info
Engine: Unity Time Frame: 6 Months
Project Info
Engine: Unity Time Frame: 6 Months
System Breakdown
System Breakdown
System Breakdown
System Breakdown
System Breakdown
System Breakdown
System Breakdown
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
Graphic Designer at Creative Solutions
For my final project at university, I created a horror game that dynamically adapts to the player's fear level. This level is detected by gathering the player's visual emotions through a webcam using a trained CNN model combined with their heart rate, which is measured using a pulse sensor attached to their finger. If the player isn't scared enough, the fear system triggers visual effects and audio cues in an attempt to guide the player towards the desired fear level. The game collects and logs this data in a table, including any events that are triggered, with the player's fear level before and after each event.
