Smart Bracelet for Elderly People: Fall Detection, GPS tracker, ​and Medicine Reminder

December 30th, 2017 Posted by IOT PLATFORM, SMART HEALTH 0 thoughts on “Smart Bracelet for Elderly People: Fall Detection, GPS tracker, ​and Medicine Reminder”

Abstract

The Smart Bracelet for Elderly People is an innovative solution that aims to detect and locate people especially for elderly people with a health problem. It is designed as a remote alert system for people at risk of stroke, sudden heart attack, and seizures. The smart bracelet provides fall detection system, GPS tracker to trace the current location and a medicine reminder setting to remind pill intake on time. This device is synchronized with the FAVORIOT platform which stores GPS data and fall detection indicator.

 

Introduction

The Smart Bracelet for Elderly People is an innovative solution that aims to detect and locate people especially for elderly people with a health problem. It is designed as a remote alert system for people at risk of stroke, sudden heart attack, and seizures. The smart bracelet provides fall detection system, GPS tracker to trace the current location and a medicine reminder setting to remind pill intake on time. This device is synchronized with the FAVORIOT platform which stores GPS data and fall detection indicator.

The bracelet can be used for elderly people staying alone when the child lives elsewhere. The child can monitor the condition of their parent which will avoid worrying feeling at all times. If a bracelet detects any fall that threatens their parent life, the device will automatically send an email or alert message to the child then if the parents do not answer the phone, we’ll know something might happen to them.

Other than this, the smart bracelet has a tracking system that has access to GPS technology. This means that the parent can spend their time outside of their home to do shopping, sport and other. In the case of a parent may be lost and fall outside of their

home, the bracelet can provide accurate location of their parent. Another functionality of the smart bracelet act as medicine reminder to remind elderly people to take their pills; if it is neglected, this service warns the prescribed care provider. It provides an easy-to-use dispenser that helps maintain the appropriate medication schedule. Elderly patients hear audio reminders when it’s time to take their pills.

Design and Implementation

The smart bracelet is designed based on Arduino UNO which is selected as the microcontroller. The Arduino is connected to accelerometer sensor for fall detection. GPS module for location tracking and a real time clock module for medicine reminder. The buzzer is connected to alarm sound when it is time to take the medicine. The block diagram of the systems is as shown in Figure 2.1 below.

Figure 2.1: Block Diagram of system
Figure 2.2: Implemented sensor on the PCB board
Figure 2.3: Prototype testing (without casing)
Figure 2.4: Prototype complete with casing wear on wrist

Result

This section shows the preliminary result from the prototype testing for fall detection, GPS tracker and Medicine Reminder coding.

Figure 3.1: A GPS state the current location
Figure 3.2: Medicine reminder display on LCD and buzzer beeping
Figure 3.3: The accelerometer reading
Figure 3.2: Data stream on Favoriot platform
Figure 3.3: An alert message received

Conclusion

The smart bracelet is able to send an alert message to the children if their parent fall and they can take immediate and necessary action. The medicine reminder reminds the elderly people to consume prescribed medicine. The GPS tracker only and can locate the current location of the elderly people. As human life longer nowadays, we believe that this device becomes important device near the future.

 

[Note: This project is being done by UTHM, our FAVORIOT’s University’s collaborator. Article was written by Siti Nur Hanisah Binti Hamidon, Siti Khadijah Binti Narudin, Siti Norliani Binti Ahmad Basni Supervisor: Dr. Ansar Bin Jamil, FKEE UTHM]

 

You can check out the whole LIST of IOT PROJECTS by our University Collaborators.

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