“Body coupled FingerRing”: wireless wearable keyboard
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Modeling the constraints of human hand motion
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
GestureWrist and GesturePad: Unobtrusive Wearable Interaction Devices
ISWC '01 Proceedings of the 5th IEEE International Symposium on Wearable Computers
Combining multiple depth cameras and projectors for interactions on, above and between surfaces
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Nenya: subtle and eyes-free mobile input with a magnetically-tracked finger ring
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part I
On-body interaction: armed and dangerous
Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction
ShoeSense: a new perspective on gestural interaction and wearable applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Survey of Glove-Based Systems and Their Applications
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Magic finger: always-available input through finger instrumentation
Proceedings of the 25th annual ACM symposium on User interface software and technology
Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor
Proceedings of the 25th annual ACM symposium on User interface software and technology
Insights into layout patterns of mobile user interfaces by an automatic analysis of android apps
Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
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Although Data Gloves allow for the modeling of the human hand, they can lead to a reduction in usability as they cover the entire hand and limit the sense of touch as well as reducing hand feasibility. As modeling the whole hand has many advantages (e.g. for complex gesture detection) we aim for modeling the whole hand while at the same time keeping the hand's natural degrees of freedom (DOF) and the tactile sensibility as high as possible while allowing for manual tasks like grasping tools and devices. Therefore, we attach motion sensor boards (accelerometer, magnetometer and gyroscope) to the human hand. We conducted a user study and found the biomechanical dependence of the joint angles between the fingertip close joint (DIP) and the palm close joint (PIP) in a relation of DIP = 0.88 PIP for all four fingers (SD=0.10, R2=0.77). This allows the data glove to be reduced by 8 sensors boards, one per finger, three for the thumb, and one on the back of the hand as an orientation baseline for modeling the whole hand through. Even though we found a joint flexing relationship also for the thumb, we decided to retain 3 sensor units here, as the relationship varied more (R2=0.59). Our hand model could potentially serve for rich handmodel-based gestural interaction as it covers all 26 DOF in the human hand.