Multimedia sensors embedded in smartphones for ambient assisted living and e-health

Parra, Lorena; Sendra, Sandra; Jiménez, Jose M.; Lloret, Jaime

doi:10.1007/s11042-015-2745-8

Cited by 30 publications

(12 citation statements)

References 54 publications

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“…Many of them base their operation on smartphones. Parra et al [ 8 ] presented a collection of previously published works that use smartphones for e-health and ambient assisted living. Other authors as Lane et al [ 9 ] present the design, implementation and evaluation of an automated wellbeing app named BeWell and demonstrate its feasibility in monitoring multi-dimensional wellbeing.…”

Section: Related Workmentioning

confidence: 99%

Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks

García

Parra

Jiménez

et al. 2018

Sensors

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Determining and improving the wellbeing of people is one of the priorities of the OECD countries. Nowadays many sensors allow monitoring different parameters in regard to the wellbeing of people. These sensors can be deployed in smartphones, clothes or accessories like watches. Many studies have been performed on wearable devices that monitor certain aspects of the health of people, especially for specific diseases. In this paper, we propose a non-invasive low-cost and low-energy physical wellbeing monitoring system that provides a wellness score based on the obtained data. We present the architecture of the system and the disposition of the sensors on the sock. The algorithm of the system is presented as well. The wellness threshold evaluation module allows determining if the monitored parameter is within healthy ranges. The message forwarding module allows decreasing the energy consumption of the system by detecting the presence of alerts or changes in the data. Finally, a simulation was performed in order to determine the energy consumption of the system. Results show that our algorithm allows saving 44.9% of the initial energy in 10,000 min for healthy people.

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Section: Related Workmentioning

confidence: 99%

Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks

García

Parra

Jiménez

et al. 2018

Sensors

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“…As future work, we are planning to employ sensors for ambient assisted living monitoring [45] to measure subjective wellness state parameters. That way, we will statistically study the correlation between habitability and wellness conditions in order to provide a better assessment of the quality of life of the user.…”

Section: Discussionmentioning

confidence: 99%

System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI

et al. 2017

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Wellness state is affected by the habitability state of the domestic environment. Monitoring it can help to discover the causes of a low wellness levels aiding people in the improvement of their quality of life. In this paper, we propose a system to monitor the wellness state of people utilizing Liketrt's scale to determine the state of the user through an emoticon-based Human-Computer Interaction (HCI). The system is intended for domestic environments and measures the habitability conditions of the dwelling (such as temperature, humidity, luminosity and noise) employing sensors. An algorithm is designed in order to establish how to measure those conditions and to calculate the statistics that allows tracking their progress. The obtained information is presented to the user to compare his/her wellness state with the habitability conditions. Measures in a real domestic environment were performed in order to determine the configuration of our system. The energy-efficiency of the algorithm provides an improvement between 99.36% and 99.62% in the energy consumption depending on the selected parameters.

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“…Mobile sensing platform (MSP) has been used by different systems to transmit a list of activities such as walking, running, and cycling. Most of these mobile applications base their operation on the embedded sensors we can find in smartphones [ 72 ]. This subsection shows some of the most interesting health-oriented mobile applications we can find in the market.…”

Section: Existing Systemsmentioning

confidence: 99%

Systems and WBANs for Controlling Obesity

Mohammed

Sendra

Lloret

et al. 2018

Journal of Healthcare Engineering

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115

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According to World Health Organization (WHO) estimations, one out of five adults worldwide will be obese by 2025. Worldwide obesity has doubled since 1980. In fact, more than 1.9 billion adults (39%) of 18 years and older were overweight and over 600 million (13%) of these were obese in 2014. 42 million children under the age of five were overweight or obese in 2014. Obesity is a top public health problem due to its associated morbidity and mortality. This paper reviews the main techniques to measure the level of obesity and body fat percentage, and explains the complications that can carry to the individual's quality of life, longevity and the significant cost of healthcare systems. Researchers and developers are adapting the existing technology, as intelligent phones or some wearable gadgets to be used for controlling obesity. They include the promoting of healthy eating culture and adopting the physical activity lifestyle. The paper also shows a comprehensive study of the most used mobile applications and Wireless Body Area Networks focused on controlling the obesity and overweight. Finally, this paper proposes an intelligent architecture that takes into account both, physiological and cognitive aspects to reduce the degree of obesity and overweight.

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Multimedia sensors embedded in smartphones for ambient assisted living and e-health

Abstract: Parra-Boronat, L.; Sendra, S.; Jimenez, JM.; Lloret, J. (2016)

Cited by 30 publications

References 54 publications

Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks

Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks

System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI

Systems and WBANs for Controlling Obesity

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