Wearable Mobility Monitoring Using a Multimedia Smartphone Platform

Hache, G.; Lemaire, Edward D.; Baddour, Natalie

doi:10.1109/tim.2011.2122490

Cited by 37 publications

(32 citation statements)

References 26 publications

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“…The strategy adopted exploits information on the user's actual posture, the previous user dynamic and the mean square value of the vertical acceleration estimated over n samples [26]:…”

Section: The User Module and The Inertial Toolmentioning

confidence: 99%

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A Smart Multi-Sensor Approach to Monitoring Weak People in Indoor Environments

Andò¹,

Baglio²,

Pistorio³

2014

JST

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This paper deals with a novel system to assist weak people while exploring indoor environments. The proposed architecture is aimed to monitor the position and inertial behavior of users as well as environmental status (e.g. temperature, humidity, gases leakage, or smoke). The system is based on a Wireless Sensor Network and smart paradigms which extract relevant information from data collected through the multi-sensor architecture. The data collected are then processed to build awareness of User-Environment Interaction and User-Environment Contextualization. This knowledge is used to build information that is useful to the user for safe and efficient exploitation of the environment and to the supervisor for a suitable assessment and management of hazard situations. The paper mainly focuses on the multi-sensor system architecture and smart paradigms used to implement the User-Environment Contextualization feature.

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“…The strategy adopted exploits information on the user's actual posture, the previous user dynamic and the mean square value of the vertical acceleration estimated over n samples [26]:…”

Section: The User Module and The Inertial Toolmentioning

confidence: 99%

“…Another feature implemented by the user inertial tool is the detection of stair climbing. With this aim the following quantity has been estimated [26]:…”

Section: The User Module and The Inertial Toolmentioning

confidence: 99%

A Smart Multi-Sensor Approach to Monitoring Weak People in Indoor Environments

Andò¹,

Baglio²,

Pistorio³

2014

JST

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“…A novel Wearable Mobility Monitoring System (WMMS) was introduced in [2]. This model was established based on smart phone approach.…”

Section: Patient Monitoring With the Help Of Mobile Phonesmentioning

confidence: 99%

A Survey on Effective In-Home Health Monitoring System

SujiPramila¹,

Nargunam²

2013

IJCA

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In recent years, waiting time in hospitals, emergency admissions, etc., are extremely costlier. It also increases the workload of doctors and medical professionals. Managing the cost, quality of treatment and caring for seniors are important issues in healthcare. These issues have a demand for in-home patient monitoring. Here the human body parameters are fetched by different ways through biosensors, wearable medical devices, and smart textiles. Then the collected details are forwarded to the remote server through the internet. Wearability, security, accuracy, outdoor monitoring and ease of use are some of the aspects in in-home patient monitoring system. This paper reviews the current research and development on in-home patient monitoring. A variety of system implementations were compared and evaluated to identify the technical shortcomings in the present health monitoring systems. The aim of this survey is to provide the direction for future research improvements.

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“…Due to the large number of input factors and complex interactions between them, most systems examine only one measured parameter and some of its influential parameters [11], [12]. Usually the examined factors are physiological parameters [13], [14] but, in addition, motion detection can also be used [15], [16]. The aim of these systems may differ, they can also be applied as a teaching device in the fields of sports and rehabilitation [17], [18].…”

Section: Introductionmentioning

confidence: 99%