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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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Updated: Oct 1, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System.

Fatemeh Serpush1, Mohammad Bagher Menhaj2, Behrooz Masoumi1

  • 1Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

Computational Intelligence and Neuroscience
|March 7, 2022
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Summary
This summary is machine-generated.

This survey provides a comprehensive review of human activity recognition (HAR) using wearable sensors. It analyzes applications, challenges, datasets, and methods for improved healthcare and security systems.

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Area of Science:

  • Computer Science
  • Biomedical Engineering
  • Artificial Intelligence

Background:

  • Human Activity Recognition (HAR) is crucial for healthcare, security, and human-computer interaction.
  • Growing elderly populations increase demand for monitoring daily living activities (ADL).
  • Wearable sensors offer a promising technology for advanced HAR in healthcare.

Purpose of the Study:

  • To conduct a comprehensive survey of HAR systems based on wearable sensors.
  • To analyze applications, challenges, datasets, approaches, and system components.
  • To provide systematic categorizations, comparisons, and qualitative evaluations of existing HAR approaches.

Main Methods:

  • Review and analysis of existing literature on HAR using wearable sensors.
  • Categorization of HAR research based on data acquisition, methods, and activity complexity.
  • Qualitative evaluation of HAR approaches based on defined system criteria.

Main Results:

  • Identified key components of wearable sensor-based HAR: sensor location, data preprocessing, and recognition methods.
  • Provided a systematic architecture and coherent categorizations for HAR systems.
  • Offered comprehensive reviews and comparisons of various HAR approaches.

Conclusions:

  • Wearable sensor-based HAR is a rapidly evolving field with significant potential in healthcare and security.
  • This survey offers a more extensive and coherent review than previous studies.
  • Highlights the need for continued research into sensor placement, data processing, and recognition algorithms.