Use of mobile sensor-based platforms for human monitoring is an ever-growing area of research. These system are able to provide objective, quantitative measurements over a time period without being restricted to a clinical settings. How-ever, these platforms also face some challenges in terms of wearability. Wearability concerns force sensor nodes to de-crease in size and employ wireless communication. Both of these constraints pose a serious design challenge for realistic applications. In this paper, we present a variety of sens-ing platforms from inertial tracking with an accelerometer system to emotion recognition with a large set of physiolog-ical sensors. We aim to show that body sensor network's properties and design patterns can be useful not only in a traditional accelerometer based system applications, but also in applications that are better suited with other sensor modalities.