Wang et al., 2013 - Google Patents
Toward a passive low-cost in-home gait assessment system for older adultsWang et al., 2013
View HTML- Document ID
- 15420828082312452409
- Author
- Wang F
- Stone E
- Skubic M
- Keller J
- Abbott C
- Rantz M
- Publication year
- Publication venue
- IEEE journal of biomedical and health informatics
External Links
Snippet
In this paper, we propose a webcam-based system for in-home gait assessment of older adults. A methodology has been developed to extract gait parameters including walking speed, step time, and step length from a 3-D voxel reconstruction, which is built from two …
- 230000005021 gait 0 title abstract description 92
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wang et al. | Toward a passive low-cost in-home gait assessment system for older adults | |
Stone et al. | Unobtrusive, continuous, in-home gait measurement using the Microsoft Kinect | |
Auvinet et al. | Fall detection with multiple cameras: An occlusion-resistant method based on 3-d silhouette vertical distribution | |
Kwolek et al. | Human fall detection on embedded platform using depth maps and wireless accelerometer | |
Banerjee et al. | Day or night activity recognition from video using fuzzy clustering techniques | |
Leone et al. | Detecting falls with 3D range camera in ambient assisted living applications: A preliminary study | |
Stone et al. | Capturing habitual, in-home gait parameter trends using an inexpensive depth camera | |
González et al. | Comparison between passive vision-based system and a wearable inertial-based system for estimating temporal gait parameters related to the GAITRite electronic walkway | |
Savoie et al. | Automation of the timed-up-and-go test using a conventional video camera | |
Xue et al. | Vision-based gait analysis for senior care | |
Liang et al. | The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms | |
Albawendi et al. | Video based fall detection using features of motion, shape and histogram | |
Szankin et al. | Long distance vital signs monitoring with person identification for smart home solutions | |
Banerjee et al. | Exploratory analysis of older adults’ sedentary behavior in the primary living area using kinect depth data | |
Wang et al. | Gait analysis and validation using voxel data | |
Banerjee et al. | Sit-to-stand measurement for in-home monitoring using voxel analysis | |
Wang et al. | Quantitative analysis of 180 degree turns for fall risk assessment using video sensors | |
Caroppo et al. | Objective assessment of physical activity and sedentary time of older adults using ambient and wearable sensor technologies | |
Ishtiaq et al. | Fall detection, wearable sensors & artificial intelligence: A short review | |
Wang et al. | Testing an in-home gait assessment tool for older adults | |
Nait Aicha et al. | Continuous gait velocity analysis using ambient sensors in a smart home | |
Medina-Quero et al. | Computer vision-based gait velocity from non-obtrusive thermal vision sensors | |
Sethi et al. | Multi‐feature gait analysis approach using deep learning in constraint‐free environment | |
Nehra et al. | Unobtrusive and non-invasive human activity recognition using Kinect sensor | |
An et al. | Support vector machine algorithm for human fall recognition kinect-based skeletal data |