Applications of IoT
Avuthu Avinash, Ph.D.
Assistant Professor
School of Computer Science and Engineering
Vellore Institute of Technology Chennai
Applications of IoT
Smart healthcare
• Applications of a smart healthcare system:
1. Human activity recognition using wearable sensors
2. Channel State Information (CSI) based human activity
recognition
3. Human health monitoring
Human activity recognition using wearable sensors
• Electromyography (EMG): To assess the health of
muscles.
• Electroencephalograph (EEG): To detect abnormalities in
the brain waves.
• Electrocardiogram (ECG): To record electrical activity of
the heart.
• Accelerometer (ACC): To measure acceleration of the
body.
• Electrodermal Activity (EDA): To measure changes in the
electrical properties of the skin.
• Respiration (RESP): To measures breathing rate.
• Force (FSR): To detect numbness of the body.
• Temperature (TEMP): To measure body temperature.
Human activity recognition using wearable sensors
Source: Paraschiakos, S., Cachucho, R., Moed, M. et al. Activity recognition using wearable sensors for
tracking the elderly. User Model User-Adap Inter 30, 567–605 (2020).
Human activity recognition using wearable sensors
Source: F. Demrozi, G. Pravadelli, A. Bihorac and P. Rashidi, "Human Activity Recognition Using Inertial,
Physiological and Environmental Sensors: A Comprehensive Survey," in IEEE Access, vol. 8, pp. 210816-210836,
2020
Channel State Information (CSI) based human activity
recognition
Source: C. Tian et al., "Human Activity Recognition With Commercial WiFi Signals," in IEEE Access, vol. 10, pp. 121580-121589, 2022, doi: 10.1109/ACCESS.2022.3223437.
Preprocessing of raw CSI data for amplitude extraction
Source: Wong, Wei Ern, An Hong Wong, Wei Qi Peh, and Chee Keong Tan. "A high-dimensional, multi-transceiver channel
state information dataset for enhanced human activity recognition." Data in Brief 55 (2024): 110673.
Feature Extraction and classification
Source: M. G. Moghaddam, A. A. N. Shirehjini and S. Shirmohammadi, "A WiFi-Based Method for
Recognizing Fine-Grained Multiple-Subject Human Activities," in IEEE Transactions on Instrumentation and
Measurement, vol. 72, pp. 1-13, 2023
Result
Source: Wong, Wei Ern, An Hong Wong, Wei Qi Peh, and Chee Keong Tan. "A high-dimensional, multi-transceiver channel
state information dataset for enhanced human activity recognition." Data in Brief 55 (2024): 110673.
Human health monitoring
Smart City
Applications of a smart city project:
1. Smart parking
2. Smart farming
3. Smart air pollution monitoring systems
Smart parking
Smart farming
Source: Balasubramaniyan, M., and C. Navaneethan. "Applications of Internet of Things for smart farming–A survey." Materials
today: proceedings 47 (2021): 18-24.
Smart air pollution monitoring systems
Fine particulate matter indices
Air Quality Index
System architecture
Source: Sung, WT., Hsiao, SJ. Building an indoor air quality monitoring system based on the architecture
of the Internet of Things. J Wireless Com Network 2021, 153 (2021).

Different Internet of Things Applications

  • 1.
    Applications of IoT AvuthuAvinash, Ph.D. Assistant Professor School of Computer Science and Engineering Vellore Institute of Technology Chennai
  • 2.
  • 3.
    Smart healthcare • Applicationsof a smart healthcare system: 1. Human activity recognition using wearable sensors 2. Channel State Information (CSI) based human activity recognition 3. Human health monitoring
  • 4.
    Human activity recognitionusing wearable sensors • Electromyography (EMG): To assess the health of muscles. • Electroencephalograph (EEG): To detect abnormalities in the brain waves. • Electrocardiogram (ECG): To record electrical activity of the heart. • Accelerometer (ACC): To measure acceleration of the body. • Electrodermal Activity (EDA): To measure changes in the electrical properties of the skin. • Respiration (RESP): To measures breathing rate. • Force (FSR): To detect numbness of the body. • Temperature (TEMP): To measure body temperature.
  • 5.
    Human activity recognitionusing wearable sensors Source: Paraschiakos, S., Cachucho, R., Moed, M. et al. Activity recognition using wearable sensors for tracking the elderly. User Model User-Adap Inter 30, 567–605 (2020).
  • 6.
    Human activity recognitionusing wearable sensors Source: F. Demrozi, G. Pravadelli, A. Bihorac and P. Rashidi, "Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey," in IEEE Access, vol. 8, pp. 210816-210836, 2020
  • 7.
    Channel State Information(CSI) based human activity recognition Source: C. Tian et al., "Human Activity Recognition With Commercial WiFi Signals," in IEEE Access, vol. 10, pp. 121580-121589, 2022, doi: 10.1109/ACCESS.2022.3223437.
  • 8.
    Preprocessing of rawCSI data for amplitude extraction Source: Wong, Wei Ern, An Hong Wong, Wei Qi Peh, and Chee Keong Tan. "A high-dimensional, multi-transceiver channel state information dataset for enhanced human activity recognition." Data in Brief 55 (2024): 110673.
  • 9.
    Feature Extraction andclassification Source: M. G. Moghaddam, A. A. N. Shirehjini and S. Shirmohammadi, "A WiFi-Based Method for Recognizing Fine-Grained Multiple-Subject Human Activities," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, 2023
  • 10.
    Result Source: Wong, WeiErn, An Hong Wong, Wei Qi Peh, and Chee Keong Tan. "A high-dimensional, multi-transceiver channel state information dataset for enhanced human activity recognition." Data in Brief 55 (2024): 110673.
  • 11.
  • 12.
    Smart City Applications ofa smart city project: 1. Smart parking 2. Smart farming 3. Smart air pollution monitoring systems
  • 13.
  • 14.
    Smart farming Source: Balasubramaniyan,M., and C. Navaneethan. "Applications of Internet of Things for smart farming–A survey." Materials today: proceedings 47 (2021): 18-24.
  • 15.
    Smart air pollutionmonitoring systems
  • 16.
  • 17.
  • 18.
    System architecture Source: Sung,WT., Hsiao, SJ. Building an indoor air quality monitoring system based on the architecture of the Internet of Things. J Wireless Com Network 2021, 153 (2021).