5 research outputs found
Advanced Interfaces for HMI in Hand Gesture Recognition
The present thesis investigates techniques and technologies for high quality Human Machine
Interfaces (HMI) in biomedical applications. Starting from a literature review and considering
market SoA in this field, the thesis explores advanced sensor interfaces, wearable computing
and machine learning techniques for embedded resource-constrained systems. The research
starts from the design and implementation of a real-time control system for a multifinger
hand prosthesis based on pattern recognition algorithms. This system is capable to control
an artificial hand using a natural gesture interface, considering the challenges related to
the trade-off between responsiveness, accuracy and light computation. Furthermore, the
thesis addresses the challenges related to the design of a scalable and versatile system for
gesture recognition with the integration of a novel sensor interface for wearable medical and
consumer application
Hybrid wheelchair controller for handicapped and quadriplegic patients
In this dissertation, a hybrid wheelchair controller for handicapped and quadriplegic patient is proposed. The system has two sub-controllers which are the voice controller and the head tilt controller. The system aims to help quadriplegic, handicapped, elderly and paralyzed patients to control a robotic wheelchair using voice commands and head movements instead of a traditional joystick controller. The multi-input design makes the system more flexible to adapt to the available body signals. The low-cost design is taken into consideration as it allows more patients to use this system