A real time vibrotactile biofeedback system for optimizing athlete training

Eid, Mohamad; Saad, Umair; Afzal, Usama

doi:10.1109/have.2013.6679601

Cited by 8 publications

(1 citation statement)

References 10 publications

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“…The system proposed by Eid et al (2013) is designed to be used in the monitoring of athletes during sports activities, but without aiming to classify them. The goal of the system is only to measure the intensity of the performed activities.…”

Section: Related Workmentioning

confidence: 99%

MHARS: A mobile system for human activity recognition and inference of health situations in ambient assisted living

Filho

Silva²,

Coutinho³

et al. 2016

Journal of Applied Computing Research

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This paper presents MHARS (Mobile Human Activity Recognition System), a mobile system designed to monitor patients in the context of Ambient Assisted Living (AAL), which allows the recognition of the activities performed by the user as well as the detection of the activities intensity in real time. MHARS was designed to be able to gather data from different sensors, to recognize the activities and measure their intensity in different user mobility scenarios. The system allows the inference of situations regarding the health status of the patient and provides support for executing actions, reacting to events that deserve attention from the patient's caregivers and family members. Experiments demonstrate that MHARS presents good accuracy and has an affordable consumption of mobile resources.

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Section: Related Workmentioning

confidence: 99%

MHARS: A mobile system for human activity recognition and inference of health situations in ambient assisted living

Filho

Silva²,

Coutinho³

et al. 2016

Journal of Applied Computing Research

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Multimodal and Multisensory Displays for Perceptual Tasks

Raj¹,

Beach²,

Stuart³

et al. 2015

The Cambridge Handbook of Applied Perception Research

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