Vital signs obtained from people playing various types of sports can be exploited not only for diagnosing their physical conditions but also for learning the best practice to be followed to enhance their sporting abilities and skills. In this paper, focusing on a framework to collect vital data from a human group consisting of a massive number of people densely located in a limited area, we develop two new scenarios in a school environment: vital sensing in a class of physical training and large-scale sports events.

The feasibility of the developed scenarios largely depends on the ability to collect data from a large number of densely-located sensor nodes, therefore, we investigate its limitation from a viewpoint of communication performance. Assuming IEEE 802.15.4g as an enabling technology, we evaluate the packet delivery rate under the two developed scenarios by computer simulations and discuss its potential to support a large volume of vital data traffic generated by densely-located nodes.

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