Background : Accelerometers are used to objectively measure movement in free-living individuals. Distinguishing nonwear from sleep and sedentary behavior is important derive accurate measures of physical activity, behavior, sleep. We applied statistical learning approaches examine their promise detecting time compared the results with commonly wear (WT) algorithms. Methods Fifteen children, age...

In the synthesis part of a hidden Markov model (HMM) based speech synthesis system which we have proposed, a speech parameter vector sequence is generated from a sentence HMM corresponding to an arbitrarily given text by using a speech parameter generation algorithm. However, there is an inconsistency: although the speech parameter vector sequence is generated under the constraints between stat...

The problem of reducing a Hidden Markov Model (HMM) to one smaller dimension that exactly reproduces the same marginals is tackled by using system-theoretic approach. Realization theory tools are extended HMMs leveraging suitable algebraic representations probability spaces. We propose two algorithms return coarse-grained equivalent obtained stochastic projection operators: first returns models...

Lane-level map matching is essential for autonomous driving. In this paper, we propose a Hidden Markov Model (HMM) trajectory of noisy GPS measurements to the road lanes in which vehicle records its positions. To our knowledge, first time that HMM used lane-level matching. Apart from values, model further assisted by yaw rate data (converted lane change indicator signal) and visual cues form le...

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-...

Spam deobfuscation is a processing to detect obfuscated words appeared in spam emails and to convert them back to the original words for correct recognition. Lexicon tree hidden Markov model (LTHMM) was recently shown to be useful in spam deobfuscation. However, LT-HMM suffers from a huge number of states, which is not desirable for practical applications. In this paper we present a complexity-...

It has been observed that heavy meromyosin (HMM) propels actin filaments to higher velocities than native myosin in the in vitro motility assay, yet the reason for this difference has remained unexplained. Since the major difference between these two proteins is the presence of the tail in native myosin, we tested the hypothesis that unknown interactions between actin and the tail (LMM) slow mo...

The binding of actin to heavy meromyosin (HMM) in the presence of ATP was studied by analytical ultracentrifuge and ATPase studies. At 0 degrees C, at very low ionic strength, the double-reciprocal plot of HMM ATPase against actin concentration is linear. If one assumes that all of the HMM is bound to actin when the ATPase activity equals V(max), then, at an actin concentration where the actin-...

For biological sequence analysis Hidden Markov Model (HMM) have been used widely in many applications. It has provided solution for various biological sequence analysis problems. In this paper, we first elucidate the fundamentals of HMM, biological sequence analysis and description of the most important algorithms of HMM. This paper especially focusing on HMM and its various types like Profile ...