Abstract
An affective brain-computer music interface (aBCMI), developed for use as an aid to music therapy, is trialled in a case study with an individual with
Huntington’s disease. The aBCMI aims to detect a users
current affective state and modulate music generated and
played to that user in order to manipulate their affective
state in a way that has potential therapeutic benefits. We
have previously demonstrated the efficacy of this aBCMI
on a population of healthy participants but it is unclear
whether it could work with individuals with Huntington’s.
Our case study demonstrates that there is some potential
for aBCMI systems to be used by individuals with Huntington’s disease. However, we also highlight some key
challenges that need to be overcome in adapting aBCMI
systems to this user group. Specifically, we identify a
need for more robust measures of ground truths of affective states to allow the aBCMI to be trained with this user
group.
Huntington’s disease. The aBCMI aims to detect a users
current affective state and modulate music generated and
played to that user in order to manipulate their affective
state in a way that has potential therapeutic benefits. We
have previously demonstrated the efficacy of this aBCMI
on a population of healthy participants but it is unclear
whether it could work with individuals with Huntington’s.
Our case study demonstrates that there is some potential
for aBCMI systems to be used by individuals with Huntington’s disease. However, we also highlight some key
challenges that need to be overcome in adapting aBCMI
systems to this user group. Specifically, we identify a
need for more robust measures of ground truths of affective states to allow the aBCMI to be trained with this user
group.
| Original language | Undefined/Unknown |
|---|---|
| Title of host publication | GBCIC |
| DOIs | |
| Publication status | Published - 14 Jun 2017 |