Physical Human Activity Recognition Using Wearable Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 2920
Special Issue Editors
Interests: smart sensors; sensing technology; wireless sensor networks; Internet of Things; healthcare and environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: internet of things; time series data mining, smart cities and applications; internet of things in intelligent health monitoring; wireless sensor networks, artificial intelligence in smart business applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Human activity recognition (HAR) is dependent on wearable sensor information, and has been an alluring exploration subject because of its application across various entities. Numerous research works have considered HAR outcomes using smart wearable sensing systems. The inescapability and scope of capacities of today’s smart systems have empowered a wide range of versatile applications that are changing our day to day lives, using portable sensors that get physiological information. HAR systems using wearable sensors and artificial intelligence (AI) methods can realize the well-being checking of humans in real-time under varied conditions.
Authors are invited to submit articles on how to design and implement HAR systems covering the hypothesis, basics, and utilizations of HAR systems. The creators aim to emphasize how AI and HAR devices help to decide on an apt system given a specific timeframe. The investigations should consider significant issues that lead to balanced outcomes, making it easy to evaluate the nature of sensor-based human action, forecasting an immediate correlation of past works to avoid abnormal events. The investigation should handle fundamental issues that bargain the comprehension of the presentation of human action acknowledgment dependent on wearable sensor information.
Prof. Dr. Subhas Chandra Mukhopadhyay
Prof. Dr. Nagender Kumar Suryadevara
Guest Editors
Manuscript Submission Information
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Keywords
- Wearable sensors
- Human activity recognition
- Wearable sensor data
- Pervasive computing
- Human-centric sensing
- Machine learning
- Deep Learning
- Context awareness
- Image motion analysis
- Deep learning
- Artificial intelligence
- Mobile computing
- Wearable computers
- Smart home
- Smart environment
- Cloud computing
