Gait phase effects in mobile interaction
CHI '05 Extended Abstracts on Human Factors in Computing Systems
MPTrain: a mobile, music and physiology-based personal trainer
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Gait analyzer based on a cell phone with a single three-axis accelerometer
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Hi-index | 0.00 |
Discovering the user's current physiological state allows a mobile device to self-adapt its behavior in such a manner that the services it provides to the user are delivered using the optimal modalities for the current circumstances. Furthermore, interpretations of the user's physiological state might allow its translation into an emotional state and emotional context awareness, which can opens the door to a new range of pervasive personal services. In this paper, we investigate the possibility of making a mobile device aware of where it is being worn on a users' body. We also propose an algorithm to allow the mobile device to understand its user's current level of activity without the requirement for strategically positioned sensors. This type of context awareness may enable us to design better interruption and alerting strategies, as well as informing the intelligent choice of interaction modalities on behalf of the device.