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Updated: Jul 23, 2025
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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
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Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability,
Giovanni Diraco1, Gabriele Rescio1, Andrea Caroppo1
1National Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.
Sensors (Basel, Switzerland)
|July 14, 2023
Summary
Human action recognition (HAR) is crucial for smart living technologies. This review synthesizes research on HAR in smart environments, highlighting key challenges and future directions for enhanced quality of life.
Area of Science:
- Computer Vision and Artificial Intelligence
- Human-Computer Interaction
- Ubiquitous Computing
Background:
- Smart living integrates technology into homes and cities to improve citizen quality of life.
- Human Action Recognition (HAR) is vital for smart living services, including energy management, healthcare, and transportation.
- HAR utilizes computer vision and sensor data to identify human actions and activities.
Purpose of the Study:
- To conduct a comprehensive literature review of Human Action Recognition (HAR) in smart living services and applications.
- To identify key contributions, challenges, and future research directions in the field.
- To provide insights into the societal implications and application sectors of HAR in smart living.
Main Methods:
- Systematic literature review using targeted Scopus queries.
- Analysis of existing research on HAR within smart living contexts.
- Evaluation of research gaps and future research proposals.
Main Results:
- Identified essential aspects of smart living and the state-of-the-art in HAR.
- Examined primary application sectors: smart homes, smart healthcare, and smart cities.
- Underscored the importance of context awareness, data availability, personalization, and privacy in HAR.
Conclusions:
- HAR is a critical enabler for advanced smart living services.
- Further research is needed to address challenges in context awareness, data, personalization, and privacy.
- This review offers a comprehensive resource for advancing HAR in smart living applications.
Keywords:
ambient assisted livingapplicationscontext awarenessdata availabilitydeep learninghuman action recognitionmachine learningpersonalizationprivacyreviewsensing technologyservicessignal processingsmart citysmart communitysmart environmentsmart homesmart livingMore Related Videos
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