Abstract
For a long-haul flight passenger, if he/she is an adult, his/her normal heart rate should be 60 -100 beats per minute. However, the combination of long flight duration, dehydration and reduced oxygen availability etc. flying factors may cause his/her heart beating out of the normal range for a long time which endangers his/her heart health. In this paper, we present a new bio-feedback based music system to promote the passenger’s heart health with his/her preferred music. If the passenger’s heart rate is higher than the normal heart rate, the system recommends his/her preferred calm music to the passenger to transfer his/her heart rate back to normal; If the passenger’s heart rate is lower than the normal heart rate, the system recommends his/her preferred upbeat music to uplift his/her heart rate back to normal; if the passenger’s heart rate is normal, the system recommends the passenger preferred music to keep his/her heart rate at normal.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2009 International Conference on Machine Learning (ICMLC) |
| Pages | S316- |
| Publication status | Published - 2009 |
| Event | 26th International Conference on Machine Learning (ICML 2009) - Montreal, Canada Duration: 14 Jun 2009 → 18 Jun 2009 Conference number: 26 |
Conference
| Conference | 26th International Conference on Machine Learning (ICML 2009) |
|---|---|
| Abbreviated title | ICML 2009 |
| Country/Territory | Canada |
| City | Montreal |
| Period | 14/06/09 → 18/06/09 |
| Other | 29th International Conference on Machine Learning |