Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition
نویسندگان
چکیده
منابع مشابه
A feature selection-based framework for human activity recognition using wearable multimodal sensors
Human activity recognition is important for many applications. This paper describes a human activity recognition framework based on feature selection techniques. The objective is to identify the most important features to recognize human activities. We first design a set of new features (called physical features) based on the physical parameters of human motion to augment the commonly used stat...
متن کاملAnalysis and Effect of Feature Selection with Generic Classifier over Activity Recognition Dataset for Daily Life Activity Recognition
In recent years, the convergence in sensing environments and pervasive computing has opened a scope for human activity recognition research. In this paper, we form populations from smartphone accelerometer and gyroscope sensor training-based data for Human Activity Recognition (HAR). In the same vein, we described in this work an Activity Recognition database, assembled from the recorded activi...
متن کاملAnalysis and Effect of Feature Selection with Generic Classifier over Activity Recognition Dataset for Daily Life Activity Recognition
In recent years, the convergence in sensing environments and pervasive computing has opened a scope for human activity recognition research. In this paper, we form populations from smartphone accelerometer and gyroscope sensor training-based data for Human Activity Recognition (HAR). In the same vein, we described in this work an Activity Recognition database, assembled from the recorded activi...
متن کاملAnalysis and Effect of Feature Selection with Generic Classifier over Activity Recognition Dataset for Daily Life Activity Recognition
In recent years, the convergence in sensing environments and pervasive computing has opened a scope for human activity recognition research. In this paper, we form populations from smartphone accelerometer and gyroscope sensor training-based data for Human Activity Recognition (HAR). In the same vein, we described in this work an Activity Recognition database, assembled from the recorded activi...
متن کاملAnalysis and Effect of Feature Selection with Generic Classifier over Activity Recognition Dataset for Daily Life Activity Recognition
In recent years, the convergence in sensing environments and pervasive computing has opened a scope for human activity recognition research. In this paper, we form populations from smartphone accelerometer and gyroscope sensor training-based data for Human Activity Recognition (HAR). In the same vein, we described in this work an Activity Recognition database, assembled from the recorded activi...
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ژورنال
عنوان ژورنال: Journal of Sensors
سال: 2018
ISSN: 1687-725X,1687-7268
DOI: 10.1155/2018/9762098