EXCLUSIVE: Latest AI and Intelligence Algorithms Using Body Kinetics and Facial Characteristics Show Mueller Was Not Honest in House Hearing!

Monday, August 12, 2019
By Paul Martin

by Joe Hoft
August 12, 2019

We reported in late July that the body language expert reviewed Robert Mueller’s responses and actions during his recent hearing before Congress. Based on this review, Mueller was deceptive and very defiant.

Now we have additional information on Mueller’s actions from an in depth analysis using the latest in advanced technology!

The body language ghost on YouTube released a number of videos where she reviews the actions and responses on Robert Mueller in front of Congress attempting to defend his corrupt and criminal Russia Collusion coup. The results are as expected.

In her review of Mueller in response to the grilling from Republican Jim Jordan, Mueller comes of defiant and misleading –

In a second video, where Mueller is grilled by Representatives Gaetz, Gohmert and McClintock, Mueller is just plain old deceptive. The former FBI Director lied numerous times in front of Congress –

Now we have a thorough review of Mueller’s actions and mannerisms during his hearing in front of Congress using the latest in AI and intelligence algorithms.

Yaacov Apelbaum was able to capture Mueller’s conversational patterns, body kinetics, facial characteristics, and behavioral fingerprint when under duress while in a single continual homogeneous session–and all of this in a well lit environment in front of front facing high resolution cameras.

Mueller had a number of types of words and phrases that he used to avoid answering the questions. The operative sentence that proceeded most of these words was ”I’m not going to…”

In addition, Mueller did a great job obfuscating the report details but the large volume of video and audio in his testimony and the high quality imagery obtained made it possible to analyze the session and find anomalies and various patterns that could provide insight into his mindset.

Apelbaun states –

“In this project just as in several of my previous posts (1, 2, 3), I used AI based video analytics, text, and speech analysis platforms. These included:

•XRVision Sentinel AI
•IBM Watson
•LIWC2015 Text analysis

For the text/speech analysis, I used a hybrid approach to word and phrase speech pattern analysis. The textual analysis evaluated these types of speech categories:

•I-words (I, Me, My, I’m)
•Social words
•Positive emotions
•Negative emotions
•Cognitive processes
•Analytic reasoning
•Emotional tone

For the video analytics, I established Mueller’s facial and other video objects baseline using several on-line sources and the main testimony video. The baseline cataloging included his unique facial expressions such as Microexpressions and other visually detectable actions like use of hand gesture, hand related activities, head motion, mouth movement, gaze, etc.

The Rest…HERE

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