Learning recurrent behaviors from heterogeneous multivariate time-series

Duchêne, Florence; Garbay, Catherine; Rialle, Vincent

doi:10.1016/j.artmed.2006.07.004

Cited by 41 publications

(31 citation statements)

References 8 publications

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“…Start and endpoints of segments which show monotonous characteristics are a priori unknown. Identifying them is a daunting task since it is not computationally feasible to compare all possible subsegments [19,20,21]. We tackle this problem heuristically by making a sensible guess: time-series are partitioned into segments of movement and rest.…”

Section: Methodsmentioning

confidence: 99%

Kinematic assessment of stereotypy in spontaneous movements in infants

et al. 2012

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Movement variation constitutes a crucial feature of infant motor development. Reduced variation of spontaneous infant movements, i.e. stereotyped movements, may indicate severe neurological de cit at an early stage. Hitherto evaluation of movement variation has been mainly restricted to subjective assessment based on observation. is article introduces a method for quantitative assessment yielding an objective de nition of stereotyped movements which may be used for the prognosis of neurological de cits such as cerebral palsy ( ).Movements of 3-months-old infants were recorded with an electromagnetic tracking system facilitating the analysis of joint angles of the upper and lower limb. A stereotypy score based on dynamic time warping has been developed describing movements which are self-similar in multiple degrees of freedom. For clinical evaluation, this measure was calculated in a group of infants at risk for neurological disorders (n=54) and a control group of typically developing children (n=21) on the basis of spontaneous movements at the age of three months. e stereotypy score was related to outcome at the age of 24 months in terms of (n=10) or no-(n=53). Using the stereotypy score of upper limb movements cases could be identi ed with a sensitivity of 90% and a speci city of 96%. e corresponding score of the leg movements did not allow for valid discrimination of the groups. e presented stereotypy feature is a promising candidate for a marker that may be used as a simple and noninvasive quantitative measure in the prediction of . e method can be adopted for the assessment of infant movement variation in research and clinical applications.

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Section: Methodsmentioning

confidence: 99%

Kinematic assessment of stereotypy in spontaneous movements in infants

et al. 2012

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“…Any weighting scheme preserves the metric property of Euclidean distance and thus our exact algorithm is directly applicable to multidimensional data. Previously researchers have worked on approximate methods for finding repeated patterns in multidimensional time series [32] and in motion capture data [73]. Being exact, our algorithm bears good promise to be useful in these domains too.…”

Section: Extension To Multidimensional Motifsmentioning

confidence: 99%

“…Motifs may also be restricted to have a distance lower than a threshold [22][36] [113] or restricted to have a minimum density [68]. Most of the methods find fixed length motifs [22] [32]. Depending on the domain in question, the distance measures used in motif discovery can be specialized, such as allowing for "don't cares" to increase tolerance to noise [22] [88].…”

Section: Prior and Related Workmentioning

confidence: 99%

Exact Primitives for Time Series Data Mining

Mueen

2012

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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“…However, several problems exist [5], such as the choice of parameters and classification methods, sound quality (presence of noise), volume of information (several signals from different channels are acquired simultaneously), presence of noise, and finally the problem of defining a database of everyday life sounds, which is the goal of our research.…”

Section: Introductionmentioning

confidence: 99%

“…Activity recognition is an active research area [1,[4][5][6]8]; however, despite this, it has not yet reached a satisfactory performance or resulted in a standard method [26]. Among the objectives of this area is the recognition of distress situations among the elderly or disabled persons in their habitats, for the purpose of their surveillance.…”

Section: Introductionmentioning

confidence: 99%

Everyday Life Sounds Database: Telemonitoring of Elderly or Disabled

Abdoune

Fezari

2016

Journal of Intelligent Systems

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This article describes the construction phase of a corpus of everyday life sounds for a system of separation and classification of audio sources in a habitat: an application for telemonitoring of the elderly or disabled. We first present the key concepts of the research area, and then we present works and projects that address detection of distress situations and recognition of activities. Thereafter, we discuss the different sounds used in an application for telemonitoring, which inspired us to create our database. Finally, we present our experiment aimed at classifying the various environmental sounds in a habitat. The objective of this experiment is to present the global idea of our future work and to explain the necessity of creating a database of everyday life sounds.

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Learning recurrent behaviors from heterogeneous multivariate time-series

Cited by 41 publications

References 8 publications

Kinematic assessment of stereotypy in spontaneous movements in infants

Kinematic assessment of stereotypy in spontaneous movements in infants

Exact Primitives for Time Series Data Mining

Everyday Life Sounds Database: Telemonitoring of Elderly or Disabled

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