Thursday, 5 September 2024

The importance of doing the things well.



In the recent born field of sideloading, if we need to recreate a true mind from the past, it is not only gathering all the possible information. We need to understand how a living being works like a whole organism integrated in the environment in order to recreate the most accurate version of a life form with a body, brain and the generated mind.


It is the rational way to do the things. If we need to reach ASI then first we need to reach AGI, but before that we need to understand scientifically the human brain in order to project the proper hardware and software to get this first goal. An agent who is an agency of agents in a flexible structure in dynamic interaction. We are (or in general term to all brains) not an only LLM, we are a complex structure with many functions (some symbolic, sensorial, state device, cybernetic, emotional, etc.) in dynamic interaction.


For example, my personal experience about rational meditation technique like autogen method show me the unity of me (the false observation of Descartes about duality of body and mind is an illusion based in the misinformation and misinterpretation of our perceptions, body and mental states as separated agents instead of simple weak connection flow between departments by encapsulation) When I am stressed my back's muscles is automatic tense and this ever produce a stream of aggressive emotions who produce a stream of bad memories or bad imaginary scenarios, and then I start a bad discourse.


Or when I get relax state by self hypnosis I have relaxed muscles, good feelings and soft emotion of happiness and my thoughts stream is calm or void or positive wandering. As a whole organism, we work as one unit integrated with the environment. And any stimulus produce a response, but the stimulation can from environment, body or our mind when we are in an objective or mental wandering.
I practice sensorial isolation with meditation as a relaxation and rest practice in daily basis. In this state is common the creative visual hallucinations because the brain is an information eater/producer/searcher. It's impossible the quietness of the mind, inclusive when you reach the Void in your mind it's a state and then is something; you are focus on the concept of Void and is an effort. This is the true mind/brain in the planet earth. Meanwhile, we don't develop an artificial being based in this principle, we don't react true AI. It is just a behavioral black box, is static, is limited. It's impossible to put a genius in the lamp, we need to release the genius. And we need every specialist in the field to put every piece of the puzzle of the mind.
 




And we need to optimize the AI models to run in CPUs, and optimize the code to reduce the computational cost of time running, to avoid the dependencies of expensive hardware for the most part of population.

A possible pathway is created online communities of specialist in open collaboration and protect the project through international foundation. To gather a number of specialists beyond the field of computation and put together all the pieces of this critical project in the history of humanity.

Translator

Wednesday, 4 September 2024

Biometric Data Extraction: A Comprehensive Approach to Understanding Human Behavior

A man is in fron of a computer with a big screen. The man is very conected with many wires to the computer. In the screen appear a pixelated version of the man. Bothe are happy.

Translator

 

In today's data-driven world, the ability to capture and analyze human behavioral data has become increasingly valuable across a wide range of industries, from healthcare to user experience design. The project you've provided aims to tackle this challenge head-on, leveraging a diverse array of biometric sensors and computer vision techniques to extract a wealth of information about an individual's gestures, postures, expressions, movements, and more.

At the core of this project is the use of state-of-the-art machine learning models and open-source libraries like OpenPose, PoseNet, and Mediapipe. By integrating these powerful tools, the application is able to detect and track a wide range of biometric signals, including:

  • Gestures: The recognition of hand and arm movements can provide insights into an individual's communication style and intent.
  • Facial expressions: Analyzing the minute changes in a person's facial features can offer valuable clues about their emotional state and reactions.
  • Postures: The way an individual carries themselves can reveal information about their mood, confidence, and overall physical well-being.
  • Blink rate and eye tracking: Monitoring eye movements and blinking patterns can help identify fatigue, focus, and cognitive load.
  • Pulse and temperature: These physiological signals can be used to estimate the user's heart rate and core body temperature, providing insights into their physical state.

By capturing and storing this data in a structured CSV file, the project enables researchers, clinicians, and developers to leverage the information for a variety of applications, such as:

  • Human behavior analysis: Understanding how individuals interact with their environment and respond to different stimuli can inform the design of user-centric products and services.
  • Emotion recognition: Tracking changes in facial expressions and other biometric signals can assist in the development of more empathetic and personalized digital experiences.
  • Health monitoring: Continuous monitoring of biometric data can help detect early signs of health issues and support preventative care strategies.
  • Ergonomics and workplace safety: Analyzing posture and movement patterns can identify opportunities to optimize the physical work environment and reduce the risk of injury.

By combining these diverse data streams, the project demonstrates a comprehensive approach to understanding human behavior, paving the way for innovative applications that can enhance our understanding of the human experience and ultimately improve our quality of life.

As the field of biometric data extraction continues to evolve, this project serves as a valuable reference point, showcasing the potential of integrating cutting-edge machine learning and computer vision techniques to unlock deeper insights into the complex and fascinating world of human behavior.

Link to the repository: https://github.com/marcobaturan/Non-verbal-language-and-emotions/tree/main

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