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Human Behavior Analysis by Means of Multimodal Context Mining.

Human Behavior Analysis by Means of Multimodal Context Mining.

http://www.wikidata.org/entity/Q37244901

about

mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification.A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation.Automatic Emotion Perception Using Eye Movement Information for E-Healthcare Systems

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Human Behavior Analysis by Means of Multimodal Context Mining.

http://www.wikidata.org/entity/Q37244901

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

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bilimsel makale

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scientific article published on 10 August 2016

@en

vedecký článok

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vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Human Behavior Analysis by Means of Multimodal Context Mining.

@en

Human Behavior Analysis by Means of Multimodal Context Mining.

@nl

type

label

Human Behavior Analysis by Means of Multimodal Context Mining.

@en

Human Behavior Analysis by Means of Multimodal Context Mining.

@nl

prefLabel

Human Behavior Analysis by Means of Multimodal Context Mining.

@en

Human Behavior Analysis by Means of Multimodal Context Mining.

@nl

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Human Behavior Analysis by Means of Multimodal Context Mining.

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Choong Seon Hong

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Donguk Kang

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Jaehun Bang

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Sangbeom Park

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Sungyoung Lee

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Taeho Hur

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Vui Le-Ba

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Wahajat Ali Khan

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P2860

Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen

On Curating Multimodal Sensory Data for Health and Wellness Platforms

A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data.

A wearable smartphone-based platform for real-time cardiovascular disease detection via electrocardiogram processing.

Experiences of self-monitoring: successes and struggles during treatment for weight loss.

Limits to the measurement of habitual physical activity by questionnaires.

Enhanced computer vision with Microsoft Kinect sensor: a review.

The Mining Minds digital health and wellness framework.

Window size impact in human activity recognition.

On the use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition.

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scholarly article

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10.3390/S16081264

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8

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16

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Thien Huynh-The

Muhammad Asif Razzaq

Muhammad Bilal Amin

Claudia Villalonga

Muhammad Bilal Amin

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2016-08-10T00:00:00Z

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