Automatic Meal Intake Monitoring Using Hidden Markov Models
نویسندگان
چکیده
منابع مشابه
Automatic stuttering recognition using hidden Markov models
This paper describes the combination of the work of speech therapists and speech recognition systems. Our long term goal is to evaluate the degree of stuttering during therapy and to use the automatic analysis of stuttered speech as a screening method, e.g. the search for potential stutterers at an early age. The approach is to have a patient read a standard text aloud and then automatically co...
متن کاملAutomatic Recognition of Auslan Finger-spelling using Hidden Markov Models
In recent years, gesture recognition has received much attention from research communities. Computer vision-based gesture recognition has many potential applications in the area of human-computer interaction as well as sign language recognition. Sign languages use a combination of hand shapes, motion and locations as well as facial expressions. Finger-spelling is a manual representation of alph...
متن کاملAutomatic Segmentation for Music Classification using Competitive Hidden Markov Models
Music information retrieval has become a major topic in the last few years and we can find a wide range of applications that use it. For this reason, audio databases start growing in size as more and more digital audio resources have become available. However, the usefulness of an audio database relies not only on its size but also on its organization and structure. Therefore, much effort must ...
متن کاملAutomatic Segmentation of Acoustic Musical Signals Using Hidden Markov Models
In this paper we address an important step towards our goal of automatic musical accompaniment | the segmentation problem. Given a score to a piece of monophonic music and a sampled recording of a performance of that score, we attempt to segment the data into a sequence of contiguous regions corresponding to the notes and rests in the score. Within the framework of a hidden Markov model, we mod...
متن کاملBatch Process Monitoring Using Two-Dimensional Hidden Semi-Markov Models
In this paper, a novel monitoring method for the repetitive batch operation with two-dimensional dynamic behavior is proposed. It combines dynamic multiway principal component analysis (DMPCA) and hidden segmental semi-Markov models (HSMM) to resolve the problem caused by the two-dimensional behavior of batch processes. DMPCA utilizes the batch-to-batch dynamic characteristics and eliminates th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.09.130