TY - GEN
T1 - Solución tecnológica para la identificación y disminución del nivel de estrés utilizando wearables
AU - Raymondi, Luis Guillermo Antezana
AU - Guzman, Fabricio Eduardo Aguirre
AU - Armas-Aguirre, Jimmy
AU - Agonzalez, Paola
N1 - Publisher Copyright:
© 2020 AISTI.
PY - 2020/6
Y1 - 2020/6
N2 - 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.
AB - 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.
KW - Cloud Technology
KW - Heart Rate
KW - Mobile Health Application
KW - Real-time Text Recognition
KW - Stress Detection
KW - Technology
KW - Wearable
UR - https://www.scopus.com/pages/publications/85089021447
U2 - 10.23919/CISTI49556.2020.9140971
DO - 10.23919/CISTI49556.2020.9140971
M3 - Contribución a la conferencia
AN - SCOPUS:85089021447
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - Proceedings of CISTI 2020 - 15th Iberian Conference on Information Systems and Technologies
A2 - Rocha, Alvaro
A2 - Perez, Bernabe Escobar
A2 - Penalvo, Francisco Garcia
A2 - del Mar Miras, Maria
A2 - Goncalves, Ramiro
PB - IEEE Computer Society
T2 - 15th Iberian Conference on Information Systems and Technologies, CISTI 2020
Y2 - 24 June 2020 through 27 June 2020
ER -