A Smart Walking Navigation System based on Perceived Exertion

In recent years, the growing trend of personal well-being has led an increasing number of people to engage in walking related activities to improve their physical health. As such, it is becoming increasingly important to develop walking navigation systems which are able to effectively support such activities. The conventional walking navigation systems found in modern smart phone devices usually recommends the shortest route to a destination and are not aimed at facilitating health promoting walking activities. Therefore, in this paper, we propose a novel walking navigation system which takes into consideration the rate of perceived exertion (based on the walking distance, geographical elevation and heart rate data) and the avoidance of dangerous locations and the possibility of passing through highly rated scenic locations (based on social network data from twitter) when recommending a route. Finally, we describe the results of a feasibility experiment study carried out to test the routes in the system. ACM Classification