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Master Thesis: Drivers’ emotions experience
You will explore the possibility for personalized in-car services of the future. Recently, we collected a unique dataset, consisting of recorded driving behavior in the wild. In the term of your master thesis, you will focus on finding patterns within this dataset to identify driver states.
Keywords: machine learning, car driving, data analysis, gps, can data
The improvement of vehicular technologies has equipped cars with an intelligence that makes many new applications possible. The car as a modern commodity for many people provides a controlled environment in which they spend a substantial amount of time. We explore whether AI in vehicles can be leveraged for analyzing people’s current status by monitoring and evaluating their driving behaviors.
During our most recent field study, we collected a unique dataset which will be the foundation for your thesis.
The dataset consists of:
- The data was collected over 4 months by people driving on public roads
- 50+ CAN/car sensors (incl. GPS)
- Video data (inside and outside)
- A vast amount of completed surveys about a driver’s emotions
More information about the project and our research goals: https://www.iot-lab.ch/projects-connectedmobility/arne/
Unfortunately only in German: https://www.iot-lab.ch/news/aufruf-probanden-suche-fur-feldstudie-entspannung-durch-autofahren/
The improvement of vehicular technologies has equipped cars with an intelligence that makes many new applications possible. The car as a modern commodity for many people provides a controlled environment in which they spend a substantial amount of time. We explore whether AI in vehicles can be leveraged for analyzing people’s current status by monitoring and evaluating their driving behaviors.
During our most recent field study, we collected a unique dataset which will be the foundation for your thesis.
The dataset consists of:
- The data was collected over 4 months by people driving on public roads
- 50+ CAN/car sensors (incl. GPS)
- Video data (inside and outside)
- A vast amount of completed surveys about a driver’s emotions
More information about the project and our research goals: https://www.iot-lab.ch/projects-connectedmobility/arne/
Unfortunately only in German: https://www.iot-lab.ch/news/aufruf-probanden-suche-fur-feldstudie-entspannung-durch-autofahren/
We are interested in using our available dataset to understand drivers' emotional states.
There are two major questions that need to be answered:
1. The general emotional state that drivers bring into the car influences their driving behavior. Given this fact, two questions arise: a) how does driving behavior change under different emotions and b) which contextual factors before a trip influence the emotions of drivers (e.g. where do they start, at which time of the day,...)?
2. The driving experience can change the emotional state of drivers - which are such factors? (e.g. traffic jams, driving maneuvers, speeding behavior,...)
We want that you explore these questions by using our dataset. First, you would need to create a pre-processing pipeline that transforms the existing data into relevant features (e.g. driving maneveurs based on CAN data, locations based on GPS,...). Then, you would reveal which of these features influence emotions by using statistical analysis. And finally, based on these results, you would use the features in machine learning models to predict the emotions of a driver. During the master thesis, you will work closely with us and will receive a dedicated supervision. We are highly interested to invest time in your thesis.
We are interested in using our available dataset to understand drivers' emotional states.
There are two major questions that need to be answered:
1. The general emotional state that drivers bring into the car influences their driving behavior. Given this fact, two questions arise: a) how does driving behavior change under different emotions and b) which contextual factors before a trip influence the emotions of drivers (e.g. where do they start, at which time of the day,...)?
2. The driving experience can change the emotional state of drivers - which are such factors? (e.g. traffic jams, driving maneuvers, speeding behavior,...)
We want that you explore these questions by using our dataset. First, you would need to create a pre-processing pipeline that transforms the existing data into relevant features (e.g. driving maneveurs based on CAN data, locations based on GPS,...). Then, you would reveal which of these features influence emotions by using statistical analysis. And finally, based on these results, you would use the features in machine learning models to predict the emotions of a driver. During the master thesis, you will work closely with us and will receive a dedicated supervision. We are highly interested to invest time in your thesis.
Kevin Koch (kevin.koch@unisg.ch) or Shu Liu (liush@ethz.ch).
Please contact us with your CV, a short statement of motivation, and your current transcripts of records (bachelor & master).
Kevin Koch (kevin.koch@unisg.ch) or Shu Liu (liush@ethz.ch).
Please contact us with your CV, a short statement of motivation, and your current transcripts of records (bachelor & master).