Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR
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Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR
Summary
Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR is a doctoral thesis[1].
Key Facts
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's instance of is recorded as Model-based Methods for Head Tracking in AR — instance of (P31): doctoral thesis[2].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR was published by Model-based Methods for Head Tracking in AR — publisher (P123): UC Research Repository[3].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's language of work or name is recorded as Model-based Methods for Head Tracking in AR — language of work or name (P407): English[4].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's country of origin is recorded as Model-based Methods for Head Tracking in AR — country of origin (P495): New Zealand[5].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR was released on 2008[6].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's main subject is Model-based Methods for Head Tracking in AR — main subject (P921): augmented reality[7].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/1640[8].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's title is recorded as Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR[9].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's author name string is recorded as Matthew Stuart Keir[10].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's thesis submitted to is recorded as Model-based Methods for Head Tracking in AR — thesis submitted to (P4101): University of Canterbury[11].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's on focus list of Wikimedia project is recorded as Model-based Methods for Head Tracking in AR — on focus list of Wikimedia project (P5008): NZThesisProject[12].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's copyright status is recorded as Model-based Methods for Head Tracking in AR — copyright status (P6216): copyrighted[13].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's online access status is recorded as Model-based Methods for Head Tracking in AR — online access status (P6954): open access[14].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's thesis committee member is recorded as Model-based Methods for Head Tracking in AR — thesis committee member (P9161): Geoff Chase[15].
- Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's thesis submitted for degree is recorded as Model-based Methods for Head Tracking in AR — thesis submitted for degree (P13338): Doctor of Philosophy[16].
Body
Designation and Status
Robust Dynamic Orientation Sensing Using Accelerometers: Model-based Methods for Head Tracking in AR's instance of is recorded as Model-based Methods for Head Tracking in AR — instance of (P31): doctoral thesis[2].