Evaluation of an inexpensive depth camera for in-home gait assessment

Stone, Erik E.; Skubic, Marjorie

doi:10.3233/ais-2011-0124

Cited by 133 publications

(62 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In MV analysis, one or several cameras are deployed in a room where the patient is asked to walk through. Usually, the MV approach brings high accuracy when extracting the different gait spatiotemporal parameters, but this comes at the cost of using highly specialized equipment [1,22].…”

Section: Gait Analysis Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Smartphone-Based System for Clinical Gait Assessment

Pérez

Labrador

2016

2016 IEEE International Conference on Smart Computing (SMARTCOMP)

View full text Add to dashboard Cite

DEDICATIONTo my parents for being the strongest pillars of my life, and to my girlfriend, for withstanding all this time far way from each other and constantly reminding me of keep pushing forward. None of this would be possible without all of you. Thank you. ACKNOWLEDGMENTSFirst and foremost, I wish to thank my major profressor Dr. Miguel A. Labrador for all his exceptional support, and guidance these last few years.

show abstract

Section: Gait Analysis Methodsmentioning

confidence: 99%

“…The approach used in [1] and [22] was developed as solution for in-home gait analysis and fall risk detection using inexpensive equipment. A combination of Microsoft Kinects and web cameras is used to track the patient during the day (shown in Figure 2.3).…”

Section: Gait Analysis Methodsmentioning

confidence: 99%

A Smartphone-Based System for Clinical Gait Assessment

Pérez

Labrador

2016

2016 IEEE International Conference on Smart Computing (SMARTCOMP)

View full text Add to dashboard Cite

show abstract

“…A previous version of UKI was also used to monitor sitting postures of an office worker and to warn them when an unhealthy posture was detected [47]-this is an example of a routine health monitoring system where Kinect outperforms alternative technologies. Besides routine health monitoring, another well-known type of monitoring system is monitoring of unexpected events in daily life, such as a fall monitoring system created by Stone et al [48]. They revealed that the performance of a Kinect-based system is equivalent to existing systems.…”

Section: Games For Health and Medical Applicationmentioning

confidence: 99%

UKI: universal Kinect‐type controller by ICE Lab

Paliyawan

Thawonmas

2017

Softw Pract Exp

View full text Add to dashboard Cite

Summary Universal Kinect‐type‐controller by ICE Lab (UKI, pronounced as ‘You‐key’) was developed to allow users to control any existing application by using body motions as inputs. The middleware works by converting detected motions into keyboard and/or mouse‐click events and sending them to a target application. This paper presents the structure and design of core modules, along with examples from real cases to illustrate how the middleware can be configured to fit a variety of applications. We present our designs for interfaces that decode all configuration details into a human‐interpretable language, and these interfaces significantly promote user experience and eliminate the need for programming skill. The performance of the middleware is evaluated on fighting‐game motion data, and we make the data publicly available so that they can be used in other researches. UKI welcomes its use by everyone without any restrictions on use; for instance, it can be used to promote healthy life through a means of gaming and/or used to conduct serious research on motion systems. The middleware serves as a shortcut in the development of motion applications—coding of an application to detect motions can be replaced with simple clicks on UKI. Copyright © 2017 John Wiley & Sons, Ltd.

show abstract

“…have lowered the barrier of entry to human movement recognition. Our interest is in using the Kinect for movement analysis, in line with the work of Oulasvirta et al 3 and Stone et al 4 We are interested in particular in applying this movement analysis in a therapeutic context, for automatic post-stroke mobility evaluation for example.…”

Section: Introductionmentioning

confidence: 95%

Tabu search for human pose recognition

et al. 2014

View full text Add to dashboard Cite

The use of computer vision techniques to build hands-free input devices has long been a topic of interest to researchers in the field of natural interaction. In recent years Microsoft's Kinect has brought these technologies to the layman, but the most commonly used libraries for Kinect human pose recognition are closed-source. There is not yet an accepted, effective open-source alternative upon which highly specific applications can be based. We propose a novel technique for extracting the appendage configurations of users from the Kinect camera's depth feed, based on stochastic local search techniques rather than per-pixel classification.

show abstract

Evaluation of an inexpensive depth camera for in-home gait assessment

Cited by 133 publications

References 29 publications

A Smartphone-Based System for Clinical Gait Assessment

A Smartphone-Based System for Clinical Gait Assessment

UKI: universal Kinect‐type controller by ICE Lab

Tabu search for human pose recognition

Contact Info

Product

Resources

About