Lil Stamp Motion Man Mp3 Download
Viola Mathenia
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I guess the one thats noted in the library. I have the CVR going on this camera and when you try to go back to watch something thats been recorded, the time stamp is way off. So for exapmle if I know someone arrived to my house at 12:37pm and later that evening i try to see something from when they arrived, my time stamp will be off anywhere from 15-30 minutes in either direction. It could show them arriveing at 12:54pm. All i know is it's never right and its only when i try to view a CVR clip. Whats odd is if that same camera will captured a motion clip from some time in the day, that time stamp will be correct.
I just purchased a CVR plan today and am having the same issue. CVR timeline is about 30 minutes off, but recordings captured due to motion have a correct time stamp. Anyone receive a solution from netgear?
I could be mistaken, but yesterday I thought the video time stamps were off by about 25 minutes. I use a schedule to arm and disarm the camera. I can monitor for a few days to see if the video time stamps change to other than today's "off by 30 minutes" stamp.
Just confirmed that the system went into Disarmed mode at 8:00am actual time, as it should per the schedule. However, videos are still being recorded via motion detection and saved with the time stamp off by 30 minutes (video time stamp was 7:40am, but actual time was 8:10am).
Is Ring working on a way to look up a specific timestamp that has not been registered as a recorded event on a Ring Doorbell? I have had numerous instances where I have supposedly had a package delivered I have no recording of the delivery and there is no way to cross-reference the purported delivery time with my Ring Video Doorbell. I fell like this would be a feature most Ring customers would want to help in the instances of missed deliveries, thefts, and other crimes.
If there was no recording, then there is nothing to timestamp or look at. The Ring cameras only record on motion, so if there was no motion detected there is nothing to put on a time line. If you are missing activity, you might need to play with your sensitivity and/or zone settings. I had to timker with mine for a few days to get my cameras tuned.
Swallowing impairment is a common complication in various geriatric and neurodegenerative diseases. Swallowing kinematic analysis is essential to quantitatively evaluate the swallowing motion of the oropharyngeal structures. This study aims to develop a novel swallowing kinematic analysis software, called spatio-temporal analyzer for motion and physiologic study (STAMPS), and verify its validity and reliability.
STAMPS was developed in MATLAB, which is one of the most popular platforms for biomedical analysis. This software was constructed to acquire, process, and analyze the data of swallowing motion. The target of swallowing structures includes bony structures (hyoid bone, mandible, maxilla, and cervical vertebral bodies), cartilages (epiglottis and arytenoid), soft tissues (larynx and upper esophageal sphincter), and food bolus. Numerous functions are available for the spatiotemporal parameters of the swallowing structures. Testing for validity and reliability was performed in 10 dysphagia patients with diverse etiologies and using the instrumental swallowing model which was designed to mimic the motion of the hyoid bone and the epiglottis.
STAMPS provides precise and reliable kinematic measurements and multiple practical functionalities for spatiotemporal analysis. The software is expected to be useful for researchers who are interested in the swallowing motion analysis.
Swallowing impairment is a common complication in various geriatric and neurodegenerative diseases and accounts for over 15% of cases in the elderly population [1, 2]. It has been gradually recognized as a serious problem in the society in accordance with the aging trend in recent years. Identifying the dynamic features of swallowing and the main mechanism of aspiration is essential in establishing strategies to enhance recovery from swallowing impairment. Swallowing kinematic analysis (SKA) is considered one of the most important methods for the quantitative evaluation of swallowing. SKA has been conducted to investigate the motions of oropharyngeal structures in spatiotemporal aspects [3]. The videofluoroscopic swallowing study (VFSS) visualizes the dynamic motions of the superficial and deep structures of the oropharyngeal region. Hence, most of the analyses have been conducted using real-time fluoroscopic images obtained from the VFSS [4].
Although swallowing motion has been one of the minor fields compared to other biomechanical analysis of human movements such as gait, grasping or spinal kinematics, it has attracted increasing research interest in recent years along with higher demands in clinical practice. However, analysis software that can be used by swallowing researchers is still rare, and in most cases, generic motion analysis software has been used. Commercial software may restrict wide application with expensive license fees despite its high performance and free software that is not optimized for motion analysis of swallowing can be insufficient to enable to conduct researches efficiently and effectively [5,6,7,8]. For research purposes, only two studies were reported to develop swallowing motion software that can deal with only simple temporal parameters (e.g., oral and pharyngeal transit time) measured by counting frames [9, 10]. In these environments, it seems to be also unfavorable for clinicians in clinical practice to assess swallowing function in patients with swallowing impairment using the computer-based approach. It is necessary to develop open-source SKA software that can be used efficiently and practically for research or clinical application.
The present study introduces a novel MATLAB-based, open-source SKA software, called spatio-temporal analyzer for motion and physiologic study (STAMPS) and proves its validity and reliability. This software was developed to acquire and process the spatio-temporal data from VFSS video and visualize swallowing motions using diverse graphs for intuitive interpretation. The software is available at , and runs on Mac, Linux, and Windows only if MATLAB with image processing toolbox is installed.
The current study introduced the novel software, STAMPS, to support the analysis of swallowing motions. This software was designed to analyze simultaneous movements of various structures during swallowing. Using the software, multidimensional spatiotemporal data of each structure generated in the swallowing motion can be efficiently obtained, calculated, and displayed. The swallowing motion is analyzed in a two-dimensional space because the two-dimensional images are obtained using the videofluoroscopy which is one of the standard evaluation tool for swallowing function in a clinical setting. In most of the swallowing structures and food bolus, displacement and velocity in the vertical/horizontal directions are regarded as important: the motion in anterior/superior direction followed by posterior/inferior direction of the hyoid bone, larynx, and arytenoid, dilatation of the upper esophageal sphincter, and passage in posterior/inferior direction of food bolus. Angular displacement and velocity is critical only for the epiglottis, which has a role of covering the larynx to prevent the leakage of food bolus. For each structure, it may be appropriate to analyze the linear motion in the coordinate axis or the angular motion for a specific axis and this software allows the motion data to be calculated considering the characteristic motion of such a structure. This software has a set of functionalities for temporal and spatial analyses based on the previous researches [5, 6, 12]: the setting of the local coordinate system, determination of the spatio-temporal parameters for specific target structures, and plotting processes. The sample tests using clinical and instrumental data showed good reliability and validity for motion analysis. The datasets analyzed during the current study are not publicly available due the privacy of the patients but can be available from the corresponding author on reasonable request. Considering that SKA has been one of the minor fields in motion analysis and software analysis tool has been rarely developed, the software developed in this study is expected to contribute to the convenience and efficiency for the researchers in this field.
where \( T = \left( R, p \right) \in SE\left( 2 \right) \) is the pose of the \( \left( x^\prime, y \right) \) frame with respect to the \( \left( u, v^\prime \right) \) frame, and s is a scale factor. The special Euclidean group SE(2) is homeomorphic to \( \mathbbR^2 \times \mathbbS^1 \), whose element represents a rigid body motion in a two-dimensional space (Fig. 1). The scale factor is a ratio between the true and observed-in-image lengths of a reference object. The default settings of STAMPS assume a coin with a 24.0 mm diameter.
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