Philipp Achenbach, M.Sc.
Wissenschaftlicher Mitarbeiter
Arbeitsgebiet(e)
Serious Games, Gestenerkennung, Machine Learning
Kontakt
philipp.achenbach@tu-...
Philipp completed his master's degree in mechatronics here at KOM in 2018 in the Serious Games research group. The title of his thesis was "Implementation of an IK approach for tracking body movements considering different aspects of perception". The thesis is about full-body reconstruction using Inverse Kinematics in the context of Virtual Reality.
He joined KOM as a research assistant in March 2019 and is doing research in the area of gesture recognition in the Serious Games group (more on this below). In addition, he is active in teaching (Communication Networks II and Serious Games).
My research topic is Gesture Detection for Sign Language Interpretation using Wearables and deals with the question of how to reliably recognize gestures while avoiding external observers, such as cameras, for privacy reasons. The approach to gesture recognition should be mobile and able to return qualitative feedback to the user. For this purpose, different parameters of the gesture have to be distinguished, e.g. hand shape, movement, place of execution of the gesture and orientation of the hand.
As a result of my research, I must address the following questions:
- How do individual sensors impact recognition of hand shape?
- How to determine the relative position of the performed gesture?
- How to reliably determine a gesture’s start and end in continuous data?
In the context of my research, I am concerned with the following topics:
Related Topics
- Machine Learning
- Sensors & Sensor Fusion
- (Serious Games)
Through my affiliation with the serious games group, I always try to see my research in this context as well.
In addition to my research, I also supervise the following courses
- Serious Games Lecture
- Serious Games Seminar
- Serious Games Lab/Project
- Earlier: Communication Networks II (also known as KN2)
I am always looking for motivated students interested in writing a thesis in the field of gesture recognition and/or serious games. If you are interested, have a look at open theses or contact me with your own idea.