Wearable fitness technology, such as the Fitbit and Jawbone, has become more used in society and is integral to helping users maintain a healthy lifestyle. However, these fitness bands have mostly been tested on and produced for younger populations. As a result, older adults who wear the bands experience a larger data discrepancy in the step counter which is due to users having a slower, shorter gait. For this reason, it has become more crucial to develop a pedometer for senior citizens that is more accurate so that they can attain their fitness goals and maintain mobility. Project SilverSteps aims to develop a step counter application for the Samsung Simband exclusively for the use of older adults. Since the Simband is already outfitted with an accelerometer to pick up steps, we will develop an algorithm in Matlab that will interpret the sensor’s data and produce a step count. Since some of our users have walkers, it can be difficult to pick up movement when the device is on the wrist. Hence, we will also develop a bluetooth hip connector that will be compatible with the Simband and pick up more movement from the lower body. The connector will use the Matlab algorithm to produce a step count. The algorithm will be written so that it can calibrate to the walking style of its different users.