Synchronous stereo-video and biosignal recording ? a basic setup for Human-Computer-Interface applications

Burmeister, Ole; Litza, Marek; Nitschke, M. F.; Hofmann, Ulrich G.

doi:10.1109/cne.2005.1419669

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…The stereo system was ideal for the dolphin study because these cetaceans move along the bow of a moving vessel at a convenient speed which was easy to match with the boat used. Studying human motion, Burmeister et al (2005) showed that video clips from two synchronised Sony XC-ST50CE monochrome video cameras could be used to detect hand-grasp movements and corresponding biosignals (EMG) at the same time with high temporal and local precision. Similar research was conducted by Chong (2004) and Tzovaras et al (1997).…”

mentioning

confidence: 99%

An inexpensive stereo‐image capture tool for motion study

Chong¹

2007

The Photogrammetric Record

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This paper discusses the evaluation of a video stereo‐image capture tool for photogrammetric applications. The ‘‘NuView Adapter’’, a commonly available video‐image splitting device, and a digital video camera (DV) could be used to capture stereoscopic video footage for many photogrammetric applications in which low‐cost near‐simultaneous stereo‐images are required for 3D viewing or for 3D spatial data capture. Relevant photogrammetric applications might include: aerial surveillance, human/animal motion study (tracking), bank/security surveillance and precise 3D animation. The device permits two distinct views (left and right perspective views) to enter a single lens DV. A single convergence control in the device allows the user to obtain a stereo view of near and far objects. The system is easy to operate and the stereo‐images give a good visual 3D effect. Research was carried out to determine the quality of the stereo‐image for 3D measurement. The investigation involved: (1) the calibration of a customised system for optimum close range photogrammetric application; and (2) a case study involving motion tracking. A semi‐automated monodigitising photogrammetric technique was used to determine the accuracy of the system. The results show that this system could achieve a spatial data accuracy of better than 13 mm at an object distance of 9 m. The horizontal and vertical accuracies are similar to those obtained by the conventional stereoscopic camera technique using a ‘‘normal case’’ configuration with 86% overlap.

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mentioning

confidence: 99%

An inexpensive stereo‐image capture tool for motion study

Chong¹

2007

The Photogrammetric Record

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“…In recent literature, Woods (2007) shows that a mini‐underwater stereoscopic video camera system—designed for use on underwater remotely operated vehicles (ROVs)—is suitable for underwater pipe inspection in the oil and gas industry. In the medical field, Burmeister et al (2005) show that video clips from two synchronised Sony XC‐ST50CE monochrome video cameras could be used to detect hand‐grasp movements and the corresponding electromyogram (EMG) biosignals at the same time with high temporal and local precision. Similar research was conducted by Tzovaras et al (1997) and Chong (2004) to study human body motion.…”

Section: Methodsmentioning

confidence: 99%

“…To capture a high quality stereo‐video clip for sport training such as golf swing practice or rugby ball throw it was necessary to design and develop a high quality imaging system. A review of the literature shows that three types of stereoscopic video capture devices which are suitable for this application may be purchased off the shelf (Montgomery et al, 2002; Lee et al, 2004; Burmeister et al, 2005). The designs of these systems, already reviewed by Chong (2007) but repeated here for easy reference, are:…”

Section: Methodsmentioning

confidence: 99%

A photogrammetric application in virtual sport training

Chong¹,

Croft

2009

The Photogrammetric Record

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The paper discusses an application of close range photogrammetry for the development of a virtual training system for rugby football, and the use of the technique for the evaluation of rugby players’ performance. NuView, a stereo‐imaging device, and a digital high‐definition video (HDV) camera were used to capture stereoscopic video footage of players during field training. The left view and the right view were colour‐tinted cyan and red, respectively. The tinted stereo (anaglyph) views were projected onto a white screen, and players were instructed to practise ball‐throwing at the screen. A custom‐built laser device (TAM) measured the accuracy of the virtual throws. In addition, a photogrammetric system was used to track the movement of body segments, for example, the angle of shoulder orientation and the trunk flexion of the thrower. The measurements determined the parameters needed for an accurate throw and these parameters would be used in the training of new players. The study shows statistically significant differences in the values of these parameters between experienced and inexperienced players.

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“…Medical devices and other clinical systems will often resample or buffer digital signals before releasing them to downstream devices (156,157). For example, Burmeister et al measured a buffer-related delay of 30 ms between capture of video and subsequent timestamping inside a video camera system while attempting to synchronize biosignals in their experimental setup (158). Delays of up to 5 s in ECG and 8 s in PPG waveforms were reported by Potera, who also noted that the magnitude of the delay varied with the amount of wireless interference, network load, and server processing time (159,160).…”

Section: Device Integration Systems and Streaming Datamentioning

confidence: 99%

Timing errors and temporal uncertainty in clinical databases—A narrative review

Goodwin

Eytan

Dixon

et al. 2022

Front. Digit. Health

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A firm concept of time is essential for establishing causality in a clinical setting. Review of critical incidents and generation of study hypotheses require a robust understanding of the sequence of events but conducting such work can be problematic when timestamps are recorded by independent and unsynchronized clocks. Most clinical models implicitly assume that timestamps have been measured accurately and precisely, but this custom will need to be re-evaluated if our algorithms and models are to make meaningful use of higher frequency physiological data sources. In this narrative review we explore factors that can result in timestamps being erroneously recorded in a clinical setting, with particular focus on systems that may be present in a critical care unit. We discuss how clocks, medical devices, data storage systems, algorithmic effects, human factors, and other external systems may affect the accuracy and precision of recorded timestamps. The concept of temporal uncertainty is introduced, and a holistic approach to timing accuracy, precision, and uncertainty is proposed. This quantitative approach to modeling temporal uncertainty provides a basis to achieve enhanced model generalizability and improved analytical outcomes.

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Synchronous stereo-video and biosignal recording ? a basic setup for Human-Computer-Interface applications

Cited by 4 publications

References 26 publications

An inexpensive stereo‐image capture tool for motion study

An inexpensive stereo‐image capture tool for motion study

A photogrammetric application in virtual sport training

Timing errors and temporal uncertainty in clinical databases—A narrative review

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