Context-Aware Activity Recognition Systems
Context-Aware Activity Recognition Systems is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 36k research works in it since 1953. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on activity recognition in pervasive computing environments, utilizing wearable sensors and accelerometer data. It explores the application of context-aware systems for health monitoring, smart homes, and ambient intelligence. The papers also delve into the use of deep learning algorithms for accurate activity recognition and fall detection.
- Activity Recognition
- Pervasive Computing
- Wearable Sensors
- Context-Aware Applications
- Health Monitoring
- Smart Homes
- Accelerometer Data
- Deep Learning
- Ambient Intelligence
- Fall Detection
- Research works
- 36k fractional, since 1953
- In the world top 10%
- 3.5k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +6% the tick is no change
- Largest producer
China
25% of the 10 largest, 2022-now
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