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Local shape descriptor selection for object recognition in range data
TLDR
We present a generalized platform for constructing local shape descriptors that subsumes a large class of existing methods, and that allows for tuning to the geometry of specific models. Expand
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Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds
TLDR
A novel multi-scale operator for unorganized 3D point clouds is introduced. Expand
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Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older Adults
TLDR
The current diagnosis process of dementia is resulting in a high percentage of cases with delayed detection. Expand
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Dynamic parameter identification and analysis of a PHANToM haptic device
TLDR
We have successfully identified the dynamics of a SensAble Technologies PHANToM Premium 1.5 using an experimental method. Expand
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3D Human Motion Analysis to Detect Abnormal Events on Stairs
TLDR
A method to automatically detect falls and other abnormal events on stairs, via the 3D motion analysis of lower limb joints, was proposed and empirically validated. Expand
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Use of Accelerometer-Based Feedback of Walking Activity for Appraising Progress With Walking-Related Goals in Inpatient Stroke Rehabilitation
Background. Regaining independent ambulation is important to those with stroke. Increased walking practice during “down time” in rehabilitation could improve walking function for individuals withExpand
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Variable Dimensional Local Shape Descriptors for Object Recognition in Range Data
TLDR
We propose a new set of highly descriptive local shape descriptors (LSDs) for model-based object recognition and pose determination in input range data. Expand
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Vision-based assessment of gait features associated with falls in people with dementia.
BACKGROUND Gait impairments contribute to falls in people with dementia. In this study, we use a vision-based system to record episodes of walking over a two week period as participants movedExpand
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Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters.
TLDR
This paper presents a study to evaluate the concurrent validity of the Microsoft Kinect for Windows v2 for measuring the spatiotemporal parameters of gait in three different walking conditions. Expand
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Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation
TLDR
The proposed system provides insight into the potential of computer vision and deep learning for clinical application in PD and demonstrates promising performance for the future translation of deep learning to PD clinical practices. Expand
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