Aim of the project:

The main aim of this project is to design a wearable sensor based human postures recognition and stimulation system using IOT and mpu6050 Gyroscope sensor.

ABSTRACT:

Human posture recognition has a wide range of application for elderly care. The real problem occurs when an elderly person who is living alone get severally sick or in a worst-case fall and get injured making him or her unable to ask for help. In some unfortunate situations, after they fall or got sick, they might even have to live through that agony and physical pain until their final breath without any sort of help. To overcome this problem, we design a wearable sensor based human postures (Activity) recognition system. In this project we are using Mpu6050 Gyroscope sensor which can measure and maintain the orientation and angular velocity of the person. These are more advanced than accelerometer. This can measure the tilt and lateral orientation of the body whereas accelerometer can only measure the linear motion. Whenever the person has 20 seconds in the wrong post; this system will activate the buzzer and vibrator for alerts. And it consists of switch which is operate the stimulator, which involve applying electrodes to the skin near an affected muscle to send an electrical current to the area. This current causes rhythmic muscle contractions. This system consists of GSM technology It sends a message when a fall is detected. The controlling device of the whole system is NodeMCU. NodeMCU acts an intermediate between input and output modules and acts accordingly on the output modules from the input received as in the way it is programmed. Here, the Microcontroller gets input from mpu5060 module. Based on that microcontroller displays the human activity on  thingspeak cloud through Wi-Fi. Microcontroller will activate the buzzer and vibration when the system detects wrong posture. Microcontroller will send the alert SMS when a fall is detected. By using switch, we can switch ON the muscle stimulator when we required to provide the rhythmic muscle contractions. We put the total hardware setup on the belt and it is operated with battery power.

The main objectives of the project are:

1. Design a wearable device for human postures recognition.
2. To detect the human activity using MPU6050.
3. Fall detection alert using GSM.
4. Wong posture alerts using buzzer and vibration.
5. Using IOT technology to send the data into the thingspeak cloud.
6. Wrong posture muscle strain detection and stimulation.
7. To achieving this task using NodeMCU.

The major building blocks of this project are:

1. Battery Power Supply.
2. NodeMCU.
3. Mpu6050 gyroscope.
4. VIBATOR.
5. SWITCH.
6. STIMULATOR.
7. GSM.
8. Buzzer.

Software’s used:

1. Embedded C programming.
2. Arduino ide studio for dumping code into Micro controller.
3.  Express SCH for Circuit design.

  Block Diagram:     Video