Thomas Ploetz

Dr. Thomas Ploetz is a researcher at Newcastle University, specializing in human activity recognition, wearable technology, and machine learning applications across healthcare and agriculture. His work spans clinical applications such as stroke rehabilitation, mental health monitoring, and Parkinson's disease assessment, alongside agricultural advancements in livestock health and behavior analysis. He has pioneered methods using accelerometers and deep learning for automated health monitoring and behavior tracking in both humans and animals.

Key projects include the WAVES initiative (using wristband accelerometers to motivate post-stroke arm exercises), automated detection of respiratory diseases in pigs, and the development of sensor-based systems for surgical skill assessment. His interdisciplinary collaborations involve experts from computer science, veterinary medicine, and clinical neuroscience. While no formal educational background is explicitly stated, his research demonstrates expertise in sensor data analysis, machine learning algorithms, and human-computer interaction.

Dr. Ploetz's contributions include over 150 publications (selected in the articles list) on topics like activity recognition models, health monitoring systems, and smart environment technologies. His work emphasizes practical applications of ubiquitous computing in healthcare, agriculture, and education.