Heart Rate Variability in Exergaming: Feasibility and Benefits of Physiological Adaptation for Cardiorespiratory Training in Older Adults by Means of Smartwatches
Exergames are videogames that use physical movement to mediate player’s interactions with digital contents.
Multiple adaptation mechanisms have been used to enhance the effectiveness of employing Exergames to
promote physical exercise. One of the most interesting strategies utilizes physiological signals to infer the
status of player’s cardiorespiratory responses and create real-time game adaptations. This strategy is called
biocybernetic-adaptation and despite its promising potential, quantitative studies identifying measurable
benefits are scarce. We developed a between-subjects study measuring the autonomic-cardiac regulation
differences between conventional cardiorespiratory training methods and a physiologically modulated
Exergame in a group of fifteen older adults. We used heart rate (HR) data measured through smartwatches
and a floor-projection setup to encourage players to exert in targeted HR zones. We presented the analysis of
the time users spent in the target zone and the Heart-Rate-Variability (HRV) in time and frequency domains
during training sessions of 20 minutes length. Two time-domain (SDNN and RMSSD) and one frequency domain
(VLF) HRV parameters showed significant differences, revealing lower HRV values in the
physiologically adaptive condition when compared with conventional training. Our data suggests that
smartwatch technology can be accurate enough to assess HRV changes, and that a HR based physiologically
adaptive Exergame induces less HRV.
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