| 1. |
- Elmqvist, Niklas, 1977, et al.
(author)
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3DVN: A Mixed Reality Platform for Mobile Navigation Assistance
- 2006
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Reports (other academic/artistic)abstract
- We present 3DVN, a Mixed Reality platform for navigation assistance in indoor environments. Built on top of a PC-based wearable computer running the Windows operating system, the platform provides a multimodal user interface for navigating in existing physical buildings, including wireless networking, data glove gestural input, voice communication, head-mounted display, and a 3DOF head tracker. Local positioning is performed using a software-only positioning engine making use of WLAN features for accurately pinpointing the mobile device in three dimensions. The 3DVN system has been implemented as a proof-of-concept of a navigation guidance support device for visitors, and has been field-tested with human subjects in the student center of our university. Informal evaluation of subject ratings indicate a strong interest for the new system, both for guests as well as people familiar with the campus and the building.
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| 2. |
- Elmqvist, Niklas, 1977, et al.
(author)
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3DVN: A Mixed Reality Platform for Mobile Navigation Assistance
- 2007
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In: ACM CHI2007 Workshop on Mobile Spatial Interaction. ; , s. 1-4
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Conference paper (peer-reviewed)abstract
- We present 3DVN, a Mixed Reality platform for navigation assistance in indoor environments. Built on top of a PC-based wearable computer running the Windows operating system, the platform provides a multimodal user interface to navigate existing physical buildings, including wireless networking, data glove gestural input, voice communication, head-mounted display, and a 3DOF head tracker. Local positioning is performed using a software-only WLAN-based engine to accurately pinpoint the mobile device in three dimensions. We use this system as a platform for a simple theoretical framework for classifying interaction for mobile navigation assistance. Informal qualitative evaluation of our system seems to conform to predictions derived from our framework and shows the need for a rich set of interaction components for successful mobile navigation.
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| 3. |
- Lysenkova Wiklander, Mariya, et al.
(author)
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Genomic, transcriptomic and epigenomic sequencing data of the B-cell leukemia cell line REH
- 2023
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In: BMC Research Notes. - : BioMed Central (BMC). - 1756-0500. ; 16:1
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Journal article (peer-reviewed)abstract
- ObjectivesThe aim of this data paper is to describe a collection of 33 genomic, transcriptomic and epigenomic sequencing datasets of the B-cell acute lymphoblastic leukemia (ALL) cell line REH. REH is one of the most frequently used cell lines for functional studies of pediatric ALL, and these data provide a multi-faceted characterization of its molecular features. The datasets described herein, generated with short- and long-read sequencing technologies, can both provide insights into the complex aberrant karyotype of REH, and be used as reference datasets for sequencing data quality assessment or for methods development.Data descriptionThis paper describes 33 datasets corresponding to 867 gigabases of raw sequencing data generated from the REH cell line. These datasets include five different approaches for whole genome sequencing (WGS) on four sequencing platforms, two RNA sequencing (RNA-seq) techniques on two different sequencing platforms, DNA methylation sequencing, and single-cell ATAC-sequencing.
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