Luz Moreno et al., International Journal of Emerging Trends in Engineering Research, 10(2), February 2022, 48 – 52 48 ABSTRACT This paper presents the use of a wearable device as a low-cost technological tool for estimating the stress level of a university professor. The wearable device has infrared sensors that, when in contact with the skin, allow it to know the variations in the user's heart rate and indirectly estimate stress levels through an endorsed model. An experimental methodology with a non-probabilistic convenience sample was proposed. The period of experimental evaluation was one year, 24 hours a day. A classification of the levels of stress that the university professor manages was made: relaxed, normal, medium and high. This made it possible to show the percentage of time that he held in each of these categories. Within the quantitative analysis, a differentiation was made between working days, weekends and holidays. As significant results, it was found that the working day with the highest stress values was Wednesday with a value of %59.78 and, in a non-presumptive way, Saturday was detected, despite not being a working day, the university professor reached significant levels of stress. It was possible to show that the use of low-cost wearable devices allows an estimation of the repercussions at the stress level of workloads, for which it can serve as a tool for planning and scheduling tasks. Key words : Analysis, stress, wearable device, workload. 1. INTRODUCTION Today. The work demands and lifestyles of people involve the development of a large number of tasks in a short time. It is very important to keep a calm mind to efficiently carry out daily activities. Good stress management brings productivity benefits and reduces the risk of illness. There are various techniques that allow measuring the stress of a person; the most popular correspond to some neuro-psychological tests [1]-[4]. At present, thanks to the rise of neurosciences, new techniques have been generated, among which the following stand out: the use of the magneto-encephalogram (MEG) [5], the processing of functional and anatomical magnetic resonance images (fMRI, MRI) [6], [7] and the analysis of encephalographic signals. The first three techniques usually involve high costs and the last technique has given rise to the famous brain-computer interfaces (BCI) [8], [9]. BCIs are non-invasive devices that allow the capture and evaluation of brain electrical activity in real time [10]. There are a wide variety of BCIs on the market, most of which offer great advantages, however they have some limitations such as limited autonomous operation due to batteries and sometimes the electrodes can cause discomfort to users. These characteristics mean that users do not usually use BCIs for long records. In this research, it is proposed to carry out a study in which a record of the stress levels of a university teacher is made for a considerable period of time, in order to analyze the days of greatest and least stress and generate possible recommendations on the distribution of academic activities throughout the week. It should be considered that this study is carried out individually, taking into account that teachers tend to have a different distribution of academic, administrative and research loads. It is intended to serve as a model as an example of the application of physics for the development of technological tools and their use in the area of education. 2. MATERIALS AND METHODS For the development of the project, a smartwatch was selected that had optical sensors at the bottom. These sensors have the ability to appreciate blood flow allowing them to estimate heart rate. This is done, since there is a relationship between a person's stress level and their heart rate [11], [12]. This relationship allowed the development of a stress level estimation technique based on pre-established stress levels and heart rate measurement [13], [14], this technique has been certified by the Institute of Psychology and the Chinese Use of Smart Wearable Devices for the Acquisition and Subsequent Analysis of the Stress Level of a University Professor Luz Moreno 1 , Cesar Peña 2 and Mauricio Rojas 3 1 INGPRO-GES and GICE groups, University of Pamplona, Colombia, luz.moreno@unipamplona.edu.co 2 Automation and Control group, University of Pamplona, Colombia, cesarapc@unipamplona.edu.co 3 CICOM group, University of Pamplona, Colombia, mrojas@unipamplona.edu.co Received Date : December 30, 2021 Accepted Date : January 26, 2022 Published Date : February 07, 2022 ISSN 2347 - 3983 Volume 10. No.2, February 2022 International Journal of Emerging Trends in Engineering Research Available Online at http://www.warse.org/IJETER/static/pdf/file/ijeter051022022.pdf https://doi.org/10.30534/ijeter/2022/051022022