We will be utilizing a between-subjects, two-way factorial experimental design to answer our research question. In order to control for confounding variables, we will set standards for two different specific vertical displacements to be achieved by each participant. Participants will also be instructed to perform stair ascent at their maximum velocity and their power will be normalized by their mass. For our study, participants will be young adults aged between 15 and 30 with a history of either strength training or endurance training. These participants continue to exercise at least three times a week for a minimum of 30 minutes. The participants will have conducted exercised within their training modality for at least 6 months prior to their participation in the experiment. The sports they have extensively participated in the past or currently do participate in will also be used to determine and support their training modality. The exclusion criteria will be any acute or chronic lower extremity musculoskeletal or neurological injuries that may affect stair ascent performance in the 6 months leading up to the scheduled data collection. Our subjects will be obtained through convenience sampling, specifically consecutive sampling and volunteering, which involves the recruitment of participants as they become available throughout the specified duration of the study. Our sample will primarily involve our classmates in the course, as well as friends and relatives who are accessible. Data collection will be collected through the Matlab mobile application, downloaded onto a mobile device. Group members will be present for all data collections and the collections will be made on the group member’s phones. The phone will be taped or connected with a runner belt to the participants lower back. This position was chosen to because of it's proximity to the Center of Mass as well as to limit noise that would result if attached to limbs. The phone will be oriented horizontally and this will be accounted for during data analysis. The mobile application will record and save acceleration data for each trial using accelerometers integrated into the device. This data will be stored in a cloud-based storage service accessible only to the group members. The data can then be imported into a Matlab program which will calculate average power. To ensure that the values we obtain through our Matlab program is within an expected and reasonable range, we will validate our program by timing each participant using a separate stopwatch, and estimating power. Prior to data collection, participants will be weighed at the site of data collection. This number, along with any other notes and manual measurements made during the trial, will be recorded on a Google Sheets file, shared between all members of the group. The trial will consist of the participant being stationary for 3 seconds, ascending the stairs to the designated height, and then being stationary again for 3 seconds before data collection ends. This allows for a buffer in the data so that no necessary data is cut off. Each participant will do 3 trials at each of the two heights, with rest in between trials so that fatigue does not occur. The two heights chosen were 2.3 meters for the short height and 6.4 meters for the long height. The 2.3 meter height was chosen due to a similar height of 2.0 meters being used in a previous study by Mair et. al in 2019. This study tested an older population, so testing a height of 2.3m allows our experiment to be applicable across populations and have clinical relevance. The 6.4 meter height was chosen due to testing location limitations and to achieve a height greater than double the short height in order to allow the potential for a difference between groups to develop. Each participant will have their own folder, and the file naming convention will be date_participant number_stair height_trial number. For example, a file name for the first trial of a 90in stair ascension by participant 1 would be “20201025_01_90_01”. We aim to collect all our data between October 26th and November 12th. The first draft of our code will be written by November 11th, and any changes to the code will be implemented by November 19th. Data processing and analysis will be finished by November 23rd. Our presentation will be complete by November 26th. Due to current circumstances, the varying aspects of this project will be done collaboratively online. All personnel involved will collect data from their prospective participants. We will all be involved with the processing and analysis of the data via a shared cloud. The presentation and visualizations involved will be a collaborative effort done through a shared google presentation. **References:** Mair, J. L., Vito, G. D., & Boreham, C. A. (2019). Low Volume, Home-Based Weighted Step Exercise Training Can Improve Lower Limb Muscle Power and Functional Ability in Community-Dwelling Older Women. Journal of Clinical Medicine, 8(1), 41. doi:10.3390/jcm8010041