The goal of this observational study is to learn about the usefulness of automated analysis of speech, physical activity measures tracked using wearable devices at home, and tremor detection measured using computer-vision analysis of smartphone video to detect impairments related to Parkinson's disease and improve prediction of one-year progression. Participants will attend a short research visit at the University of Iowa. During this visit, they will make a video recording using a smartphone of them performing a fine motor task and audio recordings of pre-written text. They will be provided with an activity tracker and asked to wear it at home for four weeks. After four weeks, a video visit will be conducted and the speech and video tasks will be repeated.