This I-Corps project focuses on developing a commanding insole, which utilizes intelligent foot motion recognition technology collected by onboard sensors to prevent freezing of gait and falls. Freezing of gait is the most perplexing and disabling symptom of Parkinson's disease and often leads to falls. As the fastest-growing neurodegenerative disease, Parkinson's disease affects nearly 1 million Americans and 10 million people worldwide. Eighty-five percent of patients suffer from freezing of gait, which increases fall risks and reduces the quality of life and the likelihood of independent living. Commanding insoles can be worn in various home settings to enable processing of large amounts of data in real time. The solution can be potentially expanded to include orthotics, diabetic pressure ulcer prevention, and sports performance monitoring. This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on developing three innovative components: an insole hardware; an onboard, tiny, machine learning algorithm; and a mobile app. The tiny machine learning algorithm and app visualization techniques including, but not limited to, heat maps and bar plots, make more accurate and reliable decisions. Existing monitoring devices have restricted interconnectivity and comfort and cannot identify new or unseen gait freezing events in living condition