Real-time physical activity and mental stress management with a wristband and a smartphone

Cvetković, Božidara; Gjoreski, Martin; Šorn, Jure; Maslov, Pavel; Kosiedowski, Michal; Bogdanski, Maciej; Stroinski, Aleksander; Luštrek, Mitja

doi:10.1145/3123024.3123184

Cited by 10 publications

(2 citation statements)

References 3 publications

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“…A grass-roots approach is adopted by T. Gun et al [30], and they proposed an intelligent health diagnosis technique that exploits automatically generated ontology and Web-based personal health record services. Literature [31] used software development for mobile phones to develop a simple interface that allows users to learn about their physical and mental state. They required them to wear a specially designed wristband in order to realize health detection of users.…”

Section: A Health Assistant Solution For Mental Healthmentioning

confidence: 99%

MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing

et al. 2020

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According to the report by the World Health Organization, depression, as the leading disabling disease in the world, has aroused widespread social concern. However, the shortage of medical and nursing staff in psychiatry conflicts with the rising nursing needs of depressed patients. First, depression is a chronic mental illness, its cure course is relatively long, and stable drug treatment and healthy living habits are keys to the curing process. Second, the disease feature where depression patients have stronger emotional needs and more sensitive mental states is ignored in existing health monitoring systems. In consideration of the above two aspects, a health management assistant is proposed in this paper, called MEMO box system, that focuses on emotion and with smart medicine box as carrier. Specifically, the MEMO box system is composed of electronic medicine box and smart applications on mobile device, and electronic medicine box can collect the multi-mode data of patients, including their medication behaviors, daily activities, physical exercise data, and so on, which provide data basis for the health assistant. Emotion recognition and exercise recommend algorithms are deployed in the edge cloud, which can quickly respond to health service requests from patients. With the cooperation of hardware and software in this system, patients are urged to take medicines on time to effectively control their conditions, and emotion cognition and exercise adjustment recommendation can be realized for depression patients, thus providing patients with empathic sports recommendations.

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Section: A Health Assistant Solution For Mental Healthmentioning

confidence: 99%

MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing

et al. 2020

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“…Most of the studies reported in the literature on stress monitoring follow a similar experimental approach, where sensors collect biophysiological data in the stress and non-stress states. First, stress is induced under a controlled environment (laboratory) [ 17 ] or in real life [ 18 ] using mental arithmetic, TSST, or Stroop test. Then, various features are extracted from the sensors’ data, and machine learning (ML) or pattern recognition is used to differentiate the stress state from non-stress (or baseline).…”

Section: Introductionmentioning

confidence: 99%

A Review of Biophysiological and Biochemical Indicators of Stress for Connected and Preventive Healthcare

et al. 2021

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Stress is a known contributor to several life-threatening medical conditions and a risk factor for triggering acute cardiovascular events, as well as a root cause of several social problems. The burden of stress is increasing globally and, with that, is the interest in developing effective stress-monitoring solutions for preventive and connected health, particularly with the help of wearable sensing technologies. The recent development of miniaturized and flexible biosensors has enabled the development of connected wearable solutions to monitor stress and intervene in time to prevent the progression of stress-induced medical conditions. This paper presents a review of the literature on different physiological and chemical indicators of stress, which are commonly used for quantitative assessment of stress, and the associated sensing technologies.

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Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge

Janko

Gjoreski

Slapničar

et al. 2019

Human Activity Sensing

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Real-time physical activity and mental stress management with a wristband and a smartphone

Cited by 10 publications

References 3 publications

MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing

MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing

A Review of Biophysiological and Biochemical Indicators of Stress for Connected and Preventive Healthcare

Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge

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