Automatic video monitoring system for assessment of Alzheimer’s Disease symptoms

Romdhane, Rim; Mulin, Emmanuel; Derreumeaux, A.; Zouba, Nadia; Piano, Julie; Lee, L.; Leroi, Iracema; Mallea, Patrick; David, Renaud; Thonnat, Monique; Brémond, François; Robert, Philippe

doi:10.1007/s12603-011-0154-x

Cited by 14 publications

(15 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…HOS-PITAL contains 4 videos of patients performing guided and non guided activities in a hospital room (3 hours of video). The last dataset is currently being used to study Alzheimer's disease symptoms and the protocol of the guided activities is described by Romdhane et al [16].…”

Section: Methodsmentioning

confidence: 99%

Unsupervised Discovery, Modeling, and Analysis of Long Term Activities

Pusiol

Brémond

Thonnat

2011

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. This work proposes a complete framework for human activity discovery, modeling, and recognition using videos. The framework uses trajectory information as input and goes up to video interpretation. The work reduces the gap between low-level vision information and semantic interpretation, by building an intermediate layer composed of Primitive Events. The proposed representation for primitive events aims at capturing meaningful motions (actions) over the scene with the advantage of being learned in an unsupervised manner. We propose the use of Primitive Events as descriptors to discover, model, and recognize activities automatically. The activity discovery is performed using only real tracking data. Semantics are added to the discovered activities (e.g., "Preparing Meal", "Eating") and the recognition of activities is performed with new datasets.

show abstract

Section: Methodsmentioning

confidence: 99%

Unsupervised Discovery, Modeling, and Analysis of Long Term Activities

Pusiol

Brémond

Thonnat

2011

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…This approach can detect if changes occur in the daily routines of the patient. A similar approach presented in [23], uses video cameras for real-time, automatic video monitoring and analysis of motor, cognitive and behavioral symptoms in AD.…”

Section: B Alzheimer's Disease and Dementiamentioning

confidence: 99%

A Multi-agent Architecture for Ontology-Based Diagnosis of Mental Disorders

Ivașcu

Manațe

Negru

2015

2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

View full text Add to dashboard Cite

This paper presents a Multi-agent system that facilitates the remote monitoring of the elderly patients which are susceptible to mental disorder diseases. In order to find early signs of health condition depreciation we have assessed four of the most common mental disorder diseases to find which kind of sensors can detect specific symptoms with the main purpose of creating an early warning system. The diagnosis component is based on an ontology that defines the relations between sensors, symptoms and diseases. Based on these relationships a specialized agent can inform the medical personnel about the detected symptoms.

show abstract

“…So far, this method has been performed through visual analyses by a direct observer and therefore risks lack of objectivity as well as reliability. Automatic computer-based analysis, which allows recognition of certain events and patients' behavioral patterns, may offer a new solution to those former assessment problems (Romdhane et al, 2012). Little is known about the use of systematic or automatic observation of apathetic behaviors and thus evokes a promising field of research.…”

Section: New Approaches Of Assessmentmentioning

confidence: 99%