Dominant Hand

Hand dominance research explores the consistent preference for using one hand over the other, investigating its influence on various tasks and its underlying physiological and behavioral mechanisms. Current research focuses on leveraging machine learning, particularly deep multi-task learning architectures, to accurately predict hand dominance from diverse data sources like thermal imaging and physiological signals from wearable sensors. This work has implications for improving the design and usability of human-computer interfaces, enhancing the accuracy of health monitoring applications, and furthering our understanding of the neural and motor control systems related to handedness.