Dynamic Model of Athletes’ Emotions Based on Wearable Devices

Dupré, Damien; Bland, Ben; Bolster, Andrew; Morrison, Gawain; McKeown, Gary

doi:10.1007/978-3-319-60822-8_4

Cited by 4 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The option of real-time feedback without connection to other technology may provide some advantages. If worn continuously, it is uncertain if or how this device (and others) distinguishes between changes in breathing rate and HRV associated with “resting” stress, as opposed to exercise stress (Dupré et al, 2018 ). But it is probably safe to assume that users will be aware of what they are doing (i.e., resting or exercising) during monitoring periods.…”

Section: Technologies For Monitoring Heart Rate Heart Rate Variabilimentioning

confidence: 99%

“…This technology has application for monitoring the health of people who work under mentally stressful situations such as military combat, medical doctors, emergency service personnel (e.g., police, paramedics, fire fighters) and traffic controllers. Considering the strong connection between physiology and psychology in the context of competitive sport, this technology may also provide new explanations for athletic “underperformance” (Dupré et al, 2018 ).…”

Section: Technologies For Monitoring Psychological Stress and Evaluatmentioning

confidence: 99%

“…Technology such as the SYNC application designed by Sensum measures emotions by combining biometric data from third-party smartwatches/wristbands, medical devices for measuring skin conductance and HR and other equipment (e.g., cameras, microphones) (Dupré et al, 2018 ). The Spire device is a clip that attaches to clothing to measure breathing rate and provide feedback on emotional state through a mobile application.…”

Section: Technologies For Monitoring Psychological Stress and Evaluatmentioning

confidence: 99%

See 2 more Smart Citations

A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

2018

View full text Add to dashboard Cite

The commercial market for technologies to monitor and improve personal health and sports performance is ever expanding. A wide range of smart watches, bands, garments, and patches with embedded sensors, small portable devices and mobile applications now exist to record and provide users with feedback on many different physical performance variables. These variables include cardiorespiratory function, movement patterns, sweat analysis, tissue oxygenation, sleep, emotional state, and changes in cognitive function following concussion. In this review, we have summarized the features and evaluated the characteristics of a cross-section of technologies for health and sports performance according to what the technology is claimed to do, whether it has been validated and is reliable, and if it is suitable for general consumer use. Consumers who are choosing new technology should consider whether it (1) produces desirable (or non-desirable) outcomes, (2) has been developed based on real-world need, and (3) has been tested and proven effective in applied studies in different settings. Among the technologies included in this review, more than half have not been validated through independent research. Only 5% of the technologies have been formally validated. Around 10% of technologies have been developed for and used in research. The value of such technologies for consumer use is debatable, however, because they may require extra time to set up and interpret the data they produce. Looking to the future, the rapidly expanding market of health and sports performance technology has much to offer consumers. To create a competitive advantage, companies producing health and performance technologies should consult with consumers to identify real-world need, and invest in research to prove the effectiveness of their products. To get the best value, consumers should carefully select such products, not only based on their personal needs, but also according to the strength of supporting evidence and effectiveness of the products.

show abstract

Section: Technologies For Monitoring Heart Rate Heart Rate Variabilimentioning

confidence: 99%

Section: Technologies For Monitoring Psychological Stress and Evaluatmentioning

confidence: 99%

Section: Technologies For Monitoring Psychological Stress and Evaluatmentioning

confidence: 99%

See 1 more Smart Citation

A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

2018

View full text Add to dashboard Cite

show abstract

“…Bi et al [ 19 ] also used commercial wearables but to recognise the emotional state of long-distance runners during a race in order to create affective maps that are shared with the spectators. The works of Dupre are focused on the use of wearables for modelling emotional patterns in athletes during physical activities [ 20 ] and for analysing the relationship between their emotions and their performance when performing zipline activities [ 21 ]. There are also many works that use wearables and consider athletes’ emotions to detect stress [ 22 ], pain [ 23 ] or fatigue perception [ 4 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Wearables and Machine Learning for Improving Runners’ Motivation from an Affective Perspective

Baldassarri

Quirós

Baldassarri

2023

Sensors

View full text Add to dashboard Cite

Wearable technology is playing an increasing role in the development of user-centric applications. In the field of sports, this technology is being used to implement solutions that improve athletes’ performance, reduce the risk of injury, or control fatigue, for example. Emotions are involved in most of these solutions, but unfortunately, they are not monitored in real-time or used as a decision element that helps to increase the quality of training sessions, nor are they used to guarantee the health of athletes. In this paper, we present a wearable and a set of machine learning models that are able to deduce runners’ emotions during their training. The solution is based on the analysis of runners’ electrodermal activity, a physiological parameter widely used in the field of emotion recognition. As part of the DJ-Running project, we have used these emotions to increase runners’ motivation through music. It has required integrating the wearable and the models into the DJ-Running mobile application, which interacts with the technological infrastructure of the project to select and play the most suitable songs at each instant of the training.

show abstract

Analysis of physiological changes related to emotions during a zipline activity

Dupré

Andelic

Moore³

et al. 2020

Sports Eng

Self Cite

View full text Add to dashboard Cite

Despite the popularity of physiological wearable sensors in sport activities to provide feedback on athletes' performance, understanding the factors influencing changes in athletes' physiological rhythms remains a challenge. Changes in physiological rhythms such as heart rate, breathing rate or galvanic skin response can be due to both physical exertion and psychoemotional states. Separating the influence of physical exertion and psychoemotional states in activities that involves both is complicated. As a result, the influence of psycho-emotional states is usually underestimated. In order to identify the specific influence of psycho-emotional states in physiological rhythm changes, 28 participants were asked to participate in a zipline activity, which involve little or no physical exertion while stimulating psycho-emotional states. By using nonlinear analyses, results show that specific changes in phys-This research was supported and led by Sensum Ltd. in collaboration with Queen's University Belfast.

show abstract

Dynamic Model of Athletes’ Emotions Based on Wearable Devices

Cited by 4 publications

References 14 publications

A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

Wearables and Machine Learning for Improving Runners’ Motivation from an Affective Perspective

Analysis of physiological changes related to emotions during a zipline activity

Contact Info

Product

Resources

About