Visual Event

[Michele Firmasyah]

Whenworking with events in Javascript, it is often easy to lose track of what events are subscribed where. This is particularly true if you are using a large number of events, which is typical in a modern interface employing progressive enhancement. Javascript libraries also add another degree of complexity to listeners from a technical point of view, while from a developers point of view they of course can make life much easier! But when things go wrong it can be difficult to trace down why this might be.

It is due to this I've put together a Javascript bookmarklet called Visual Event which visually shows the elements on a page that have events subscribed to them, what those events are and the function that the event would run when triggered. This is primarily intended to assist debugging, but it can also be very interesting and informative to see the subscribed events on other pages.

Visual Event is currently beta level software and as such there are a few important notes to make. This first of these is that Visual Event will not currently work in Internet Explorer. IE has it's own events model and I've concentrated initially on the W3C model. The second point is that only events added by libraries which Visual Event recognises will actually be shown (see later for why). The currently supported libraries are:

When using Visual Event you will notice that I've used colour coding and icons to represent different actions in a concise and easy to view manner. The background colours which show that an element has an event attached to it follow the mapping shown below.

It turns out that there is no standard method provided by the W3C recommended DOM interface to find out what event listeners are attached to a particular node. While this may appear to be an oversight, there was a proposal to include a property called 'eventListenerList' (reference) to the level 3 DOM specification, but this has unfortunately been removed in the latest drafts. As such we are forced to looked at the individual Javascript libraries, which typically maintain a cache of attached events (so they can later be removed and perform other useful abstractions).

In the current version of Visual Event I have included support for jQuery, YUI, MooTools, Prototype (many thanks to John Schulz for his advice in adding Prototype support) and JAK (with thanks to Michal Aichiner for providing an API function). I've investigated including information Dojo, however this library does not appear not to cache the information that is required by visual event. If anyone does know of a way - please get in touch!

I would strongly encourage developers who use some of the other libraries to get in touch with me, and submit a function which can be used by Visual Event to parse a specific library's cache. The following structure must be returned by the function:

Alternatively, you can make use of a global variable which Visual Event will recognise. This global variable is called VisualEvents which you can populate using either the structure given above, or the slightly simpler version below (ideal for putting into an event registration function) - or any combination of the two:

Elastic Security allows any event detected by Elastic Endpoint to be analyzed using a process-based visual analyzer, which shows a graphical timeline of processes that led up to the alert and the events that occurred immediately after. Examining events in the visual event analyzer is useful to determine the origin of potentially malicious activity and other areas in your environment that may be compromised. It also enables security analysts to drill down into all related hosts, processes, and other events to aid in their investigations.

Events that can be visually analyzed are denoted by a cubical Analyze event icon. Select this option to open the event in the visual analyzer. Alternatively, open the alert details flyout, go to the Visualizations section, then click Analyzer preview. This opens the Analyzer tab in Timeline.

In Elastic Stack versions 7.10.0 and newer, there is no limit to the number of events that can be associated with a process. However, in Elastic Stack versions 7.9.0 and earlier, each process is limited to only 100 events.

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Objectives: Electrical potentials produced by blinks and eye movements present serious problems for electroencephalographic (EEG) and event-related potential (ERP) data interpretation and analysis, particularly for analysis of data from some clinical populations. Often, all epochs contaminated by large eye artifacts are rejected as unusable, though this may prove unacceptable when blinks and eye movements occur frequently.

Results: Results on EEG data collected from 28 normal controls and 22 clinical subjects performing a visual selective attention task show that ICA can be used to effectively detect, separate and remove ocular artifacts from even strongly contaminated EEG recordings. The results compare favorably to those obtained using rejection or regression methods.

Event-related potentials (ERPs) were recorded from 12 subjects as they attended to the left or right hemifield of a visual display while fixating a central point. Stimuli were presented to the left or right visual fields on separate trials (unilateral stimuli) or to both fields simultaneously (bilateral stimuli). In different conditions, the stimulus sequences contained only bilateral stimuli, only unilateral stimuli, or a mixture of unilateral and bilateral stimuli. Bilateral stimuli elicited an enhanced positivity lasting from about 75 to 250 msec that was largest at posterior electrode sites contralateral to the attended hemifield. The early phase of this attention-related positivity appeared to be an enhancement of the exogenous P1 component. In contrast, both the posterior P1 and N1 components were enhanced in response to attended unilateral stimuli. Moreover, the N1 attention effect was reduced when the preceding stimulus contained elements in the attended field. It was concluded that modulations of the N1 and P1 components in these experiments represent different aspects of visual spatial attention: N1 may represent the orienting of attention to a task-relevant stimulus, whereas P1 may represent a facilitation of early sensory processing for items presented to a location where attention is already focused.

I am trying to use psychopy for a user study, I have tried to run the standalone psychopy which works fine however I can not use the standalone application as i use python to run a separate device hence the need of running everything within python.

I have the latest psychopy version 3.10 installed

System MacOS High Sierra

I have spent time searching for some explanation for how to fix the error and am yet to get some help. Any indication as to why this is will be very much appreciated. The above error is only generated when i run my script from the terminal with python 2. with python 3.7 the error message is that there is no module named psychopy.

Hi Micheal,

Thanks for the response but I spent yesterday doing just that and the same error as before is what I get and I was hoping that I will get some insight into the error for python 2 as well and not just python 3. However when I try to run the script via spyder the error no module name psychopy install is returned.

Just for those who might be having similar issue as above, I found a work around by using the standalone version to create study and discovered that the error i was getting was as a result some incomplete import from psychopy (from psychopy import sound, gui, visual, core, data, event, logging, clock).

Our client Zappi, a market research platform, took this approach for their second annual Virtual Insight Summit. They knew their audience was suffering from major video fatigue and would likely listen in while doing other things.

One standout example is the National Fund for Workforce Solutions. The organization galleried visual notes from its Advancing Workforce Equity project in its offices, keeping the goals at the top of the long-term initiative of mind among employees and partners.

The workshops are a fun, creative break in the day and attendees walk away with easy-to-use visual templates. For example, Ink Factory offers a popular goal-setting workshop that helps non-drawers visualize what they want to accomplish. Because people remember what they see more than what they hear or read, visualizing goals is a great way to make them stick.

At its Virtual Insights Summit, Zappi hosted an interactive workshop that taught attendees how to create a visual to-do list. Participants practiced handwriting, visual hierarchy, and drawing icons. Everyone received a digital guide, making it easy to put these visual communication concepts into practice.

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We introduce a novel problem of audio-visual event localization in unconstrained videos. We define an audio-visual event as an event that is both visible and audible in a video segment. We collect an Audio-Visual Event (AVE) dataset to systemically investigate three temporal localization tasks: supervised and weakly-supervised audio-visual event localization, and cross-modality localization.Audio-Visual Event (AVE) dataset contains 4143 videos covering 28 event categories and videos in AVE are temporally labeled with audio-visual event boundaries.

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