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The proliferation of location-based services has driven the rapid development of indoor localization technology. The conventional location fingerprinting based localization approach suffers from the time-consuming and labor-intensive process of fingerprint database construction, and meanwhile, the widely known simultaneous localization and mapping seriously depends on various motion sensors. In response to these compelling problems, we propose a new indoor pedestrian motion detection approach without the assistance of location fingerprinting or motion sensing. Specifically, first of all, the motion paths are constructed by the motion model of the pedestrian in the target environment. Second, after collecting the wireless local area network (WLAN) received signal strength (RSS) sequence on each motion path, the concept of density-based spatial clustering is adopted to generate the RSS clusters, and in each …