Mobile Sensor Application

1. Mobile Sensor Application Group 4

2. Introduction • Modern smartphones are often equipped with quite a large number of sensors. • The sensors data can be used to extract information with regards to the users environmental condition or the users activity. • Here we present two such applications • Fall Detection • Earthquake alert system

3. Fall Detection • Falls can be detected using Accelerometer • Accelerometer sensor provides acceleration reading(ms-2) in all 3 dimensions. • Basic approach to find out the fall is to calculate the resultant of acceleration. • This resultant is compared to a threshold value, above which it is classified as fall.

4. Further improvements to fall detection • We can improve the accuracy by expanding the algorithm to include the readings from gyroscope and barometric sensors. • Characterizing different kinds of fall.

5. Earthquake Detection • The principle is similar to fall detection but here the decision of the ‘event’ is not taken by the phone. • The vibration data is sent to the server. The server, based on crowdsourced data, will issue an alert if an earthquake occurred.

6. Crowdsourcing? • Crowdsourcing is the practice of obtaining needed services or content from a large group of people. • In case of an event, phones will report the event, sending the sensor data to the server. • If the server receives lots of event from a specific region, we classify such an event as earthquake.

7. MQTT-Message queue Telemetry transport • This is a lightweight messaging protocol designed for low power applications. • It was primarily designed for systems with limited CPU cycles and memory, and also for networks with minimal bandwidth or high latency. • So MQTT can be used to run very efficiently on small devices or in areas where network coverage is patchy.

8. Thank You