Millions of people experience hand-tremors—rhythmic oscillation of the fingers, hands, or arm that cause shaking in the hand. People who experience hand tremors often experience difficulty in human computer interactions. For example, when browsing a website, people with hand tremors may have difficulty navigating or clicking on links in the website. With sever hand tremors, effective computing is difficult without assistance. Past research has developed interventions that can be automatically deployed by a website to make it more accessible to people with hand tremors. We build on this research by creating a methodology to unobtrusively detect hand tremors, allowing these mitigation options to be offered or automatically deployed. In an exploratory study, we found that hand tremors influence 5 mouse movement statistics. Based on these results, we discuss our next steps in our research agenda (predicting hand tremors, and improving website usability), as well as research and practical implications.