@conference{10517,

title = {The Biocybernetic Loop Engine: an Integrated Tool for Creating Physiologically Adaptive Videogames},

author = {John Muñoz and Élvio Rúbio Gouveia and Mónica Cameirão and Sergi Bermúdez Badia},

year  = {2017},

date = {2017-01-01},

booktitle = {4th International Conference in Physiological Computing Systems.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{10515,

title = {Portuguese Tradition Inspired Exergames for Older People - Strategic Tools to Promote Functional Fitness},

author = {Afonso Gonçalves and John Muñoz and Élvio Rúbio Gouveia and Mónica Cameirão and Sergi Bermúdez Badia},

year  = {2017},

date = {2017-01-01},

booktitle = {icSports},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{10514,

title = {Heart Rate Variability in Exergaming - Feasibility and Benefits of Physiological Adaptation for Cardiorespiratory Training in Older Adults by Means of Smartwatches},

author = {John Muñoz and E. R. Gouveia and Mónica Cameirão and Sergi Bermúdez Badia},

year  = {2017},

date = {2017-01-01},

booktitle = {icSports},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{10524,

title = {Modulation of Physiological Responses and Activity Levels During Exergame Experiences},

author = {John Muñoz and Sergi Bermúdez Badia and Élvio Rúbio Gouveia and Mónica Cameirão},

year  = {2016},

date = {2016-01-01},

booktitle = {2016 18th International Conference on Virtual Worlds and Games for Serious Applications. IEEE},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{8489,

title = {Automating Senior Fitness Testing Through Gesture Detection with Depth Sensors},

author = {Afonso Gonçalves and Élvio Rúbio Gouveia and Mónica Cameirão and Sergi Bermúdez Badia},

year  = {2015},

date = {2015-11-01},

booktitle = {IET International Conference on Technologies for Active and Assisted Living (TechAAL 2015)},

publisher = {INSPEC, IEEE},

organization = {INSPEC, IEEE},

abstract = {<p>Sedentarism has a negative impact on health, life expectancy and quality of life, especially in older adults. The assessment of functional fitness helps evaluating the effects of ageing and sedentarism, and this assessment is typically done through validated battery tests such as the Senior Fitness Test (SFT). In this paper we present a computer-based system for assisting and automating SFT administration and scoring in the elderly population. Our system assesses lower body strength, agility and dynamic balance, and aerobic endurance making use of a depth sensor for body tracking and multiple gesture detectors for the evaluation of movement execution. The system was developed and trained with optimal data collected in laboratory conditions and its performance was evaluated in a real environment with 22 elderly end-users, and compared to traditional SFT administered by an expert. Results show a high accuracy of our system in identifying movement patterns (>95%) and consistency with the traditional fitness assessment method. Our results suggest that this technology is a viable low cost option to assist in the fitness assessment of elderly that could be deployed for at home use in the context of fitness programs.</p>},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}