Technological solution for the identification and reduction of stress level using wearables
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Authors
Raymondi, Luis Guillermo AntezanaGuzman, Fabricio Eduardo Aguirre
Armas-Aguirre, Jimmy
Agonzalez, Paola
Issue Date
2020-06-01Keywords
Cloud TechnologyHeart Rate
Mobile Health Application
Real-time Text Recognition
Stress Detection
Technology
Wearable
Metadata
Show full item recordPublisher
IEEE Computer SocietyJournal
Iberian Conference on Information Systems and Technologies, CISTIDOI
10.23919/CISTI49556.2020.9140971Additional Links
https://ieeexplore.ieee.org/abstract/document/9140971Abstract
In this article, a technological solution is proposed to identify and reduce the level of mental stress of a person through a wearable device. The proposal identifies a physiological variable: Heart rate, through the integration between a wearable and a mobile application through text recognition using the back camera of a smartphone. As part of the process, the technological solution shows a list of guidelines depending on the level of stress obtained in a given time. Once completed, it can be measured again in order to confirm the evolution of your stress level. This proposal allows the patient to keep his stress level under control in an effective and accessible way in real time. The proposal consists of four phases: 1. Collection of parameters through the wearable; 2. Data reception by the mobile application; 3. Data storage in a cloud environment and 4. Data collection and processing; this last phase is divided into 4 sub-phases: 4.1. Stress level analysis, 4.2. Recommendations to decrease the level obtained, 4.3. Comparison between measurements and 4.4. Measurement history per day. The proposal was validated in a workplace with people from 20 to 35 years old located in Lima, Peru. Preliminary results showed that 80% of patients managed to reduce their stress level with the proposed solution.Type
info:eu-repo/semantics/articleRights
info:eu-repo/semantics/embargoedAccessLanguage
engDescription
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.ISSN
21660727EISSN
21660735ae974a485f413a2113503eed53cd6c53
10.23919/CISTI49556.2020.9140971
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