The purchase of eco-friendly products is encouraged by the governments due to its contributions sustainable development environment. It therefore important examine factors influencing products. Based on attitude-behavior-context (ABC) theory, this paper constructs a conceptual model, which explores how consumer’s perceived effectiveness affects individuals’ In details, attempts mediating role c...

Wi-Fi fingerprinting is one of the methods that are widely used to provide Location Based Services (LBS). Gaussian, or a mixture Gaussians, preferred model by for LBS. Nevertheless, Received Signal Strength Intensity (RSSI) histograms skewed, and Gaussian not well suited modeling data when their histogram skewed. In addition, another important characteristic present in RSSI temporal series auto...

INTRODUCTION The use of accelerometers to objectively measure physical activity (PA) has become the most preferred method of choice in recent years. Traditionally, cutpoints are used to assign impulse counts recorded by the devices to sedentary and activity ranges. Here, hidden Markov models (HMM) are used to improve the cutpoint method to achieve a more accurate identification of the sequence ...

Several types of Semi-Continuous HMM (SC-HMM) have been compared with the Continuous Density HMM (CD-HMM) in the context of Speaker Independent Isolated Words Recognition (SI-IWR). It is demonstrated that for the ten-digit vocabulary (TIDIGITS), the SC-HMM outperforms the CD-HMM when memory constraints are imposed on the system. SC-HMMs demonstrate recognition rate of about 95% with a total of ...

Abstract Background To objectively assess a patient’s gait, robust identification of stride borders is one the first steps in inertial sensor-based mobile gait analysis pipelines. While many different methods for segmentation have been presented literature, an out-of-lab evaluation respective algorithms on free-living still missing. Method address this issue, we present comprehensive dataset, i...

A new scheme for the optimization of codebook sizes for HMMs and the generation of HMM ensembles is proposed in this paper. In a discrete HMM, the vector quantization procedure and the generated codebook are associated with performance degradation. By using a selected clustering validity index, we show that the optimization of HMM codebook size can be selected without training HMM classifiers. ...

Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...

This article is concerned with an original approach to generative classification of spatiotemporal areal (or lattice) data based on implementation spatial weighting Hidden Markov Models (HMMs). In the framework this model at each unit specified by conditionally independent Gaussian observations and first-order chain for labels call it local HMM. The proposed modification conventional HMM spatia...