-I'm reposting it here at the level of information and research.
- If it can't stay here, you can move and or delete it.
-I will also warn the author, with the link to this one. because I liked his analysis/summary on the
subject/research. (the date of international publication of, was on 26 march, 2020)
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The patent, titled “Cryptocurrency system using body activity data”, describes a SYSTEM in which a user’s body activity—measured through BIOSENSORS such as EEG sensors, fMRI scanners, heart-rate monitors, thermal sensors, optical sensors, or other devices—can be used as input data for verifying tasks in a cryptocurrency process. The system involves a task server providing activities to the user, a sensor that captures body activity during or after the task, and a cryptocurrency system that verifies whether the biosensor-derived data meets required conditions before awarding digital currency. This approach is presented as an alternative to conventional proof-of-work mining, aiming to reduce computational energy demands while integrating human body activity data into the verification process.
I have MANY posts on Biosensors in Covid tests and vaccines. They had to put biosensors in everyone to test the upcoming system.
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The patent explicitly allows both wearable/external sensors and in-body sensors.
In the detailed description, it defines “sensor” broadly as any device capable of detecting or measuring body activity. Examples include:
External / wearable: EEG headbands, smartwatches, fitness trackers, optical sensors, temperature sensors, fMRI, etc.
Implanted / in-body: subcutaneous sensors, implanted chips, electrodes, biosensors capable of detecting brain activity, blood flow, body chemistry, etc.
The claims are written broadly so that the protection covers any type of sensor, whether external or implanted, that can measure body activity data and feed it to the cryptocurrency system.
So in short: Yes, in-body sensors are covered as possible embodiments. The patent doesn’t restrict itself to wearables — it leaves the door open for sensors “in the body, on the body, or near the body.”
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Below is a detailed breakdown, section by section, of WO2020060606A1 – “Cryptocurrency system using body activity data” (Microsoft)
https://patents.google.com/patent/WO2020060606A1/enOverview / Abstract
Proposes a system where body activity data (e.g., brain waves, body heat, etc.) of a user performing a task is used as part of a “mining-like” process in a cryptocurrency system.
The idea is to use the body’s activity (instead of or in addition to large computational work) as a proof‐of‐work (or analogous difficulty check) to verify that a user has done something (task) and then award cryptocurrency.
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Background
Talks about how existing cryptocurrency mining (proof of work) requires massive computational energy, solving difficult problems.
Raises the issue of energy costs, inefficiency.
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Summary of the Invention
Suggests replacing or augmenting conventional proof‐of‐work with human body activity while users perform tasks (e.g. watching ads, using services).
The system involves sensors sensing body activity, generating “body activity data”, a verification by the cryptocurrency system that these data satisfy certain conditions, and then awarding cryptocurrency.
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Definitions & Key Components
Body activity: could be anything measurable by sensors: fMRI, EEG, heart rate, brain waves, body heat, movement, etc.
Sensor: may be external or built into the user device (could be wearable or integrated) that captures body activity data.
User device: device used by user, communicatively coupled to sensor, possibly wearable, phone, computer, etc.
Task server: server providing tasks to user (ads, content, services, etc.)
Cryptocurrency system / network: receives data, verifies conditions, and awards cryptocurrency. Could be centralized or decentralized (e.g. blockchain).
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How It Works — Main Flow / Method
1. Task Issuance
The user is provided one or more tasks via the server. Tasks might be watching an ad, using a service, uploading content, etc.
2. Sensing Body Activity
While or after the user does the task, a sensor captures body activity (brain waves, movement, pulses, etc.).
3. Generating Body Activity Data
From the raw sensor data, the device (or a server) processes it: codification (sampling, extracting features, transforming, possibly filtering), maybe hashing etc.
For example, maybe extract frequency bands from EEG, use Fast Fourier Transform or similar to convert signals to a useful numeric form.
4. Verification by Cryptocurrency System
The system checks whether the generated body activity data meets certain conditions. Conditions might be: pattern in the hash, threshold, similarity to expected data, etc.
Could also include ensuring data is from a human (not synthetic / faked), re‐hashing, checking that the hash matches the pre‐image, checking statistical properties.
5. Awarding Cryptocurrency
If verification passes, the user is awarded cryptocurrency (or other rewards).
Possibly the task server or provider also gets rewarded for providing the task/service.
6. Blockchain / Logging
Blocks containing the transaction (task done, body activity data or its hash, user address, etc.) are added to the ledger / blockchain.
Network nodes validate, broadcast new blocks, etc.
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Additional Embodiments / Variations
Using vectors / embeddings: Instead of raw data or simple hashes, one embodiment uses vector representations (embeddings), e.g. converting fMRI voxels via ML algorithms (e.g. convolutional neural networks) into vectors.
Similarity checks: The system may have “legitimate vectors” or baseline vectors, and check whether the user's body activity vector is sufficiently similar (using cosine similarity, Euclidean distance etc.) to what’s expected for that task.
Difficulty adjustment: The “target range” or patterns required for verification can be adjusted over time to maintain desired difficulty.
Ensuring authenticity: Checking that data is human‐generated, perhaps by rehashing pre‐image data or comparing received hash vs re‐computed, etc.
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Figures & System Design
Fig. 1: Shows the environment – task server, user device, sensor, communication network, cryptocurrency system.
Fig. 2: Decentralized network view (nodes / compute resources etc.)
Fig. 3: Flow of the method (task → sensing → generate data → verify → reward).
Fig. 4-5: Details of generating body activity data and verifying it.
Fig. 6: Example of blockchain and how blocks include the body activity hash, previous hash, transactions etc.
Fig. 7: Variant using vectors/embeddings for body activity data.
Fig. 8: Example computing system that could implement these components.
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Advantages Claimed
Lower energy consumption compared to traditional proof‐of‐work (since body activity is used rather than brute computational hashing).
Possibly faster mining or verification (depending on task / user) than computational mining.
Also, since users are doing a task anyway, it could harness “useful work” (like viewing content) rather than purely wasteful hashing.
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Potential Issues / Considerations (not explicit in claims, but implied)
While the patent describes this system, implementing it raises a number of challenges:
How to ensure authenticity of body activity data (not spoofed, manipulated, or synthesized).
Privacy concerns: body activity (brain waves etc.) is very sensitive data.
Sensor accuracy, calibration, security.
User consent, regulation, health / safety.
Scalability: how many users, how many tasks, how to manage vector comparisons or similarity computations at scale.
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Claims (what the patent is legally seeking to protect)
While I won’t list all claims in full, the key protected ideas include:
A cryptocurrency system that receives body activity data from a user’s device, verifies whether it satisfies conditions, and awards cryptocurrency accordingly.
A method involving: providing tasks; sensing body activity; generating data; verifying; awarding.
A device that includes sensors, processor(s), memory, configured to do this task / generate and send body activity data.
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