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IoT Wearable Devices and Applications

IoT Wearable Devices are smart devices that are worn on the body and are connected to the internet. These devices typically include sensors, processors, and wireless communication technologies that allow them to collect data and send it to other devices or cloud platforms for further processing. Here are some examples of IoT Wearable Devices and Applications with code examples:

  • Fitness Trackers: Fitness trackers are wearable devices that monitor physical activity and health metrics, such as steps taken, calories burned, heart rate, and sleep quality. Here's an example of how to use an Arduino board and an accelerometer sensor to create a simple fitness tracker:
c++
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#include <Wire.h>
#include <Adafruit_Sensor.h>
#include <Adafruit_ADXL345_U.h>

Adafruit_ADXL345_Unified accel = Adafruit_ADXL345_Unified(12345);

void setup(void) {
  Serial.begin(9600);
  if (!accel.begin()) {
    Serial.println("Could not find a valid ADXL345 sensor, check wiring!");
    while (1);
  }
}

void loop(void) {
  sensors_event_t event;
  accel.getEvent(&event);
  float x = event.acceleration.x;
  float y = event.acceleration.y;
  float z = event.acceleration.z;
  Serial.print("X = ");
  Serial.print(x);
  Serial.print(" m/s^2\tY = ");
  Serial.print(y);
  Serial.print(" m/s^2\tZ = ");
  Serial.print(z);
  Serial.println(" m/s^2");
  delay(500);
}

This code reads acceleration data from an ADXL345 accelerometer sensor and sends it to a serial monitor. The data can be further processed to calculate the number of steps taken or the distance traveled.

  • Smartwatches: Smartwatches are wearable devices that can display notifications, make phone calls, and run apps. Here's an example of how to use a Raspberry Pi and a smartwatch to display notifications:
python
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import requests
from datetime import datetime
from time import sleep
import os

# initialize variables
last_notification = None

while True:
    # get the latest notification from a cloud platform
    url = "https://api.example.com/notifications"
    response = requests.get(url)
    if response.status_code == 200:
        notification = response.json()
        if notification["timestamp"] > last_notification:
            # display the notification on the smartwatch
            os.system("notify-send '{}' '{}'".format(notification["title"], notification["message"]))
            last_notification = notification["timestamp"]
    sleep(1)

This code polls a cloud platform for new notifications and displays them on the smartwatch using the notify-send command on Linux. The code can be modified to work with other smartwatches and notification systems.

  • Medical Devices: Medical devices are wearable devices that monitor vital signs and health conditions, such as blood pressure, glucose levels, and oxygen saturation. Here's an example of how to use an ESP32 board and a pulse oximeter sensor to create a simple medical device:
c++
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#include <Wire.h>
#include <Adafruit_Sensor.h>
#include <Adafruit_MAX30102.h>
#include <Adafruit_SSD1306.h>

Adafruit_MAX30102 oximeter;
Adafruit_SSD1306 display(128, 64);

void setup() {
  Serial.begin(115200);
  if (!oximeter.begin(Wire, I2C_SPEED_FAST)) {
    Serial.println("Could not find a valid MAX30102 sensor, check wiring!");
    while (1);
  }
  display.begin(SSD1306_SWITCHCAPVCC, 0x3C);
  display.display();
  delay(2000);
  displays.clearDisplay();
  display.setTextSize(2);
  display.setTextColor(WHITE);
  display.setCursor(0,0);
  display.println("Pulse Oximeter");
  display.display();
  }

  void loop() {
  oximeter.readSensor();
  float heart_rate = oximeter.getHeartRate();
  float spo2 = oximeter.getSpO2();
  Serial.print("Heart Rate: ");
  Serial.print(heart_rate);
  Serial.print(" bpm\tSpO2: ");
  Serial.print(spo2);
  Serial.println(" %");
  display.clearDisplay();
  display.setTextSize(2);
  display.setTextColor(WHITE);
  display.setCursor(0,0);
  display.println("Pulse Oximeter");
  display.setCursor(0, 30);
  display.print("HR: ");
  display.print(heart_rate);
  display.print(" bpm");
  display.setCursor(0, 50);
  display.print("SpO2: ");
  display.print(spo2);
  display.print(" %");
  display.display();
  delay(500);
  }
This code reads heart rate and oxygen saturation data from a MAX30102 pulse oximeter sensor and displays it on an OLED display. The data can be further processed to send alerts to a healthcare provider if the patient's vital signs fall outside a certain range.

Overall, IoT Wearable Devices and Applications are transforming the way we interact with technology, making it more personal, seamless, and integrated with our daily lives.


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