Obesity is an epidemic in the United States, and weight loss is key component to overcoming the problem. However, the risk of falling and injury in the obese population may hinder their engagement in the amount and intensity of physical activity needed to lose weight. The risks of falling and injury have been attributed to differences in temporospatial walking parameters, musculoskeletal structure, and cognitive processing: all of which affect the obese population’s ability to adapt while walking. We have proposed that an intervention using motor learning principles with an implicit learning task could improve the adaptive abilities of obese individuals during movement and thus, allow for safer participation in physical activity during weight loss interventions.