5.4 Summary

The data on the cloud contains the terrain information of the pedestrian path

GPS Ver. h a Dirty bit (20, 30) 1 +20 3 0 (20, 31) 1 +20 7 0 (20, 32) 1 +20 10 0 (20, 33) 1 +20 10 0 (21, 30) 1 +2 0 0 (21, 31) 1 +2 +1 0 (21, 32) 1 +3 0 0 (21, 33) 1 0 2 0 (20, 30) 1 80 0 (20, 31) 1 80 0 (20, 32) 1 +2 0 0 (20, 33) 1 +2 0 0 GPS, the coordinates of the GPS location; Ver., the version number of the data; h, the height of the terrain; a, the

1. When the pedestrian wants to navigate, he first initiates a session with the cloud server which is a onetime activity for every navigation session.

2. The smart phone application now starts streaming the terrain data from the cloud shown above which is the reference data of the pedestrian path.

3. The system guides the person to follow the route and alerts on any terrainrelated danger. For instance, when the pedestrian is in (20, 33). The interface alerts the pedestrian that there is a pit right in front of him ((20, 30), (20, 31) as indicated by a negative high value) and identifies that nearby terrain that is

4. The lumigrids on the shirt scans the terrain ahead of the person and checks if there is an acceptable match with the reference data on cloud. If there is any discrepancy in the data obtained by the shirt and the cloud, the person is requested to take some alternative like a slight lateral movement and again a match is checked for. If the person is not able to get any help or no match is found, the server looks for alternative routes and guides the person. For instance, let the person be in (21, 30). According to the cloud data, there should be a high wall in front of him, but the shirt mounted unit scans and finds that there is no wall now and the terrain is optimum to walk. It flags all these data in the cloud as dirty by setting the Dirty Bit as

tolerable to walk and guides the pedestrian accordingly.

follows:

128

The visualization of the data represented as a terrain grid available on the cloud

capable of generating a terrain grid along with its GPS coordinates.

for a pedestrian path looks like Figure 9.

Wearable Devices - The Big Wave of Innovation

1. A sample data from the cloud is as follows

inclination of the terrain; dirty bit, specifies if the data is obsolete

This section proposes a conceptual framework which fills the major gaps exist in the design of technological navigation aids and explains the software architecture, hardware and wearable devices requirements and the theoretical models necessary for building an infrastructure to seamlessly gather the terrain-related information of the pedestrian path and use this information to guide the pedestrians to navigate properly.
