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Wi-Fi-Based Location-Independent Human Activity Recognition via Meta Learning
human activity recognitionlocation-independentmeta learningmetric learningfew-shot learningWi-Fi-based device-free human activity recognition has recent...
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human activity recognitionlocation-independentmeta learningmetric learningWi-Fi-based device-free human activity recognition has recently become a vital...
Wi-Fi-Based Location-Independent Human Activity Recognition via Meta Learning
Wi-Fi-based device-free human activity recognition has recently become a vital underpinning for various emerging applications, ranging from the Internet...
Activity recognition based on a multi-sensor meta-classifier
Summary: Ensuring ubiquity, robustness and continuity of monitoring is of key importance in activity recognition. To that end, multiple sensor configura...
A Hierarchical Meta-Classifier for Human Activity Recognition
This paper proposes a multi-level meta-classifier for identifying human activities based on accelerometer data. The training data consists of 77 subject...
A Survey of Machine Learning and Meta-heuristics Approaches for Sensor-based Human Activity Recognition Systems
Deep learningMeta-heuristic approachesSmartphoneWearable sensorsHuman Activity Recognition (HAR) is an important research area that has profound applica...
Ensem-DeepHAR: Identification of human activity in smart environments using ensemble of deep learning methods and motion sensor data
Recognizing human activity plays a crucial role in many applications such as medical care services in smart healthcare environments. Inertial or motion ...
An ensemble maximal feature subset selection for smartphone based human activity recognition
Smartphone-based Human Activity Recognition (HAR) uses spatiotemporal time series data collected from a smartphone's in-built accelerometer, gyroscope, ...
Device-free cross location activity recognition via semi-supervised deep learning
Human activity recognition plays an important role in a variety of daily applications. There has been tremendous work on human activity recognition base...
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognitiondoi:10.48550/arXiv.2111.04566Radio-Frequency (RF) based devi...
