RESonance: Lightweight, Room-Scale Audio-Visual Biofeedback for Immersive Relaxation Training

Yu, Bin; Hu, Jun; Funk, Mathias; Liang, Rong-Hao; Xue, Mengru; Feijs, Loe

doi:10.1109/access.2018.2853406

Cited by 23 publications

(8 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To tackle this issue, HR and HRV are often employed in combination with other physiological measures that can help in discriminating whether the source of cardiac activation is sympathetic or parasympathetic. HRV is particularly interesting in the context of engagement as it can be used to assess and visualize arousal, but also mental stress (Taelman et al, 2009;Liang et al, 2018;Yu et al, 2018). Unfortunately, most of the studies employing HR and HRV are conducted with young participants -mostly university students (e.g., Mandryk et al, 2006aand 2006b, Ravaja et al, 2008, Drachen et al, 2010Negini et al, 2014;only Nacke et al, 2010 contemplated a slightly older population with an age of 18 to 41 years) -and are hence hard to generalize to the dementia population which is usually composed of people older than 65 years of age.…”

Section: Peripheral-physiological Measuresmentioning

confidence: 99%

ENGAGE-DEM: A Model of Engagement of People With Dementia

Perugia

Boladeras

Catala-Mallofre

et al. 2022

IEEE Trans. Affective Comput.

View full text Add to dashboard Cite

ADVERTIMENT La consulta d'aquesta tesi queda condicionada a l'acceptació de les següents condicions d'ús: La difusió d'aquesta tesi per mitjà del r e p o s i t o r i i n s t i t u c i o n a l UPCommons (http://upcommons.upc.edu/tesis) i el repositori cooperatiu TDX ( h t t p : / / w w w . t d x . c a t / ) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d'investigació i docència. No s'autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d'un lloc aliè al servei UPCommons o TDX. No s'autoritza la presentació del seu contingut en una finestra o marc aliè a UPCommons (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.ADVERTENCIA La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del repositorio institucional UPCommons (http://upcommons.upc.edu/tesis) y el repositorio cooperativo TDR (http://www.tdx.cat/?locale-attribute=es) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio UPCommons No se autoriza la presentación de su contenido en una ventana o marco ajeno a UPCommons (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora.WARNING On having consulted this thesis you're accepting the following use conditions: Spreading this thesis by the i n s t i t u t i o n a l r e p o s i t o r y UPCommons

show abstract

Section: Peripheral-physiological Measuresmentioning

confidence: 99%

ENGAGE-DEM: A Model of Engagement of People With Dementia

Perugia

Boladeras

Catala-Mallofre

et al. 2022

IEEE Trans. Affective Comput.

View full text Add to dashboard Cite

show abstract

“…A biofeedback system collects user's bio-signals (such as HRV) and provides these data back to the users in various formats in order to bring the unconscious physiological process under conscious control [6]. It is proven to be an efficient tool for relaxation training and stress management [19]- [21]. Regarding stress management, HRV-based biofeedback, which is related to the users' autonomic nervous activities, is proven to be practically effective [3], [22], [23] and is applied in biofeedback installations [24], [25].…”

Section: B Hci For Stress Managementmentioning

confidence: 99%

AffectiveWall: Designing Collective Stress-Related Physiological Data Visualization for Reflection

Xue

Liang

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

Excessive workplace stress affects the individual's health as well as social collaborations, so the management of stressors is essential. However, an individual worker who only subjectively reflects on his or her individual and social stressors may misinterpret them, and thus not be able to manage them. This paper aims at engaging workplace stress reflection on objective stress-related physiological data using a shared display, which provides an anonymous view of the individual stress-related physiological signals (i.e., heart-rate variability) through a collective visualization. A minimalist proof-of-concept system is implemented for investigating the design space and deployed during group collaboration. The user study results show that the visualization successfully drew the participants' awareness and increased their understanding of self and organizational stress. This work highlights the importance of objective physiological data in the reflection process of organizational stress management.

show abstract

“…In the domain of domestic living, Yu et al [ 106 ] designed a pervasive system for stress reduction at home, which uses inter-beat interval (IBI) and HRV to control the lighting in order to provide real time stress response information and help users relax by regulating their breath. Similarly, RESonance [ 107 ] follows the same logic, but this time audio biofeedback has also been added, through the natural soundscape, while Inner Flower [ 108 ] is a flower-shaped device, which features color LEDs for providing breathing guidance based on HR.…”

Section: Related Workmentioning

confidence: 99%

Improving Stress Management and Sleep Hygiene in Intelligent Homes

Leonidis

Sykianaki

Tsolakou

et al. 2021

Sensors

View full text Add to dashboard Cite

High stress levels and sleep deprivation may cause several mental or physical health issues, such as depression, impaired memory, decreased motivation, obesity, etc. The COVID-19 pandemic has produced unprecedented changes in our lives, generating significant stress, and worries about health, social isolation, employment, and finances. To this end, nowadays more than ever, it is crucial to deliver solutions that can help people to manage and control their stress, as well as to reduce sleep disturbances, so as to improve their health and overall quality of life. Technology, and in particular Ambient Intelligence Environments, can help towards that direction, when considering that they are able to understand the needs of their users, identify their behavior, learn their preferences, and act and react in their interest. This work presents two systems that have been designed and developed in the context of an Intelligent Home, namely CaLmi and HypnOS, which aim to assist users that struggle with stress and poor sleep quality, respectively. Both of the systems rely on real-time data collected by wearable devices, as well as contextual information retrieved from the ambient facilities of the Intelligent Home, so as to offer appropriate pervasive relaxation programs (CaLmi) or provide personalized insights regarding sleep hygiene (HypnOS) to the residents. This article will describe the design process that was followed, the functionality of both systems, the results of the user studies that were conducted for the evaluation of their end-user applications, and a discussion about future plans.

show abstract

RESonance: Lightweight, Room-Scale Audio-Visual Biofeedback for Immersive Relaxation Training

Cited by 23 publications

References 39 publications

ENGAGE-DEM: A Model of Engagement of People With Dementia

ENGAGE-DEM: A Model of Engagement of People With Dementia

AffectiveWall: Designing Collective Stress-Related Physiological Data Visualization for Reflection

Improving Stress Management and Sleep Hygiene in Intelligent Homes

Contact Info

Product

Resources

About