Research interests

Evolutionary Computation

Evolutionary Computation (EC) methods and most prominent Evolutionary Algorithms (EA) are a class of optimization algorithms inspired by the process of natural selection and evolution. These algorithms mimic the principles of biological evolution to search for optimal solutions in complex problem spaces.

Motion Capture and Sensor Data Processing

Motion Capture research centers on sensor data processing, refining techniques to accurately capture and interpret human movements for applications in health, biomechanics, and virtual reality.

Free and Open Source Software

Free and Open Source Software drives technological innovation, supports economic growth through shared development and reduced barriers, and strengthens democratic values by ensuring transparency, accessibility, and community empowerment.

Energy-efficient Algorithms

Research in energy-efficient algorithms is essential for advancing sustainable computing and optimizing power consumption in software.

Featured Publications

Paper 'Classification of body postures using smart workwear'

Classification of body postures using smart workwear

Lins and Hein, 2022, Health and Technology

Paper 'Cardiopulmonary resuscitation quality parameters'

Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids

Lins et al., 2019, Applied Soft Computing

Paper 'EA-based smartwatch application for training and assistance in cardiopulmonary resuscitation'

EA-based smartwatch application for training and assistance in cardiopulmonary resuscitation

Lins et al., 2023, Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO)

Paper 'A Real-Time Eye Tracking System for the Detection of Eye Blinks'

A Real-Time Eye Tracking System for the Detection of Eye Blinks

Witte and Lins, 2023, Studies in Health Technology and Informatics

Paper 'Designing a New Puzzle App to Target Dyslexia Screening in Pre-Readers'

Designing a New Puzzle App to Target Dyslexia Screening in Pre-Readers

Rauschenberg et al., 2019, Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good

Paper 'OWAS inter-rater reliability'

OWAS inter-rater reliability

Lins et al., 2021, Applied Ergonomics