Human Return Music Interface.
This is no longer framed as a conventional Brain-Computer Interface. The core project is a Human-Machine Music Interface: music is the interface, qualia is the input, rhythm is the pathway, AI is the reflective layer, and wearable sensing / future BCI validation become the scientific testing layer.
本项目不再被主命名为传统“脑机接口”。它的核心是人机音乐接口：音乐是界面，感质是输入，节律是路径，AI 是反思层，可穿戴生理传感与未来 BCI 验证是科学测试层。
What is built, what is renamed, what needs validation.
已建成什么、重新命名为什么、需要验证什么。
Human Return Music Interface is an early-stage, falsifiable human-machine music system. It is not currently presented as a medical device, clinical treatment, completed BCI, or proven neural regulation system. The future BCI layer is treated as a validation pathway, not the project’s primary identity.
Human Return Music Interface 是一个早期、可证伪的人机音乐系统。当前不把它表述为医疗设备、临床治疗、已完成的脑机接口或已证明的神经调节系统。未来 BCI 层是验证路径，不是项目主身份。
Research portal + interaction prototype
研究入口 + 交互原型
UX research case, QDR logic, AiAiQ<10 operating layer, sound matrix, state sampling, micro-pilot data structure.
UX 研究案例、QDR 逻辑、AiAiQ<10 操作层、声音矩阵、状态采样、micro-pilot 数据结构。
No clinical or neural proof yet
尚无临床或神经证明
No treatment claim, no diagnostic claim, no validated BCI claim, no brainwave synchronization claim.
不声称治疗、不诊断、不声称已验证 BCI、不声称已证明脑波同步。
Lab partnership requested
请求实验室合作验证
Protocol feedback, EEG/fNIRS/HRV/EDA validation, sham-controlled design, acoustic analysis, sensing-layer co-development.
实验设计反馈、EEG/fNIRS/HRV/EDA 验证、sham control、声学分析、传感层共同开发。
This project is not primarily a brain-computer interface. It is a human-machine music interface.
这个项目的主身份不是脑机接口，而是人机音乐接口。
The earlier name BCI-HRP remains as a repository and neuro-validation branch. The actual project identity is now Human Return Music Interface / Human Return Qualia-Music-Rhythm System: a system where music becomes the interface through which subjective state, AI reflection, wearable physiological sensing, and future neural validation meet.
早期名称 BCI-HRP 仍保留为仓库与神经验证分支。当前项目主身份更新为 Human Return Music Interface / 人类返回感质-音乐-节律系统：音乐成为界面，在这里主观状态、AI 镜像、可穿戴生理传感与未来神经验证相互连接。
Human Return Music Interface
人类返回音乐接口
The name used for labs, HCI, music technology, wearable sensing, and human-AI interaction.
面向实验室、HCI、音乐科技、可穿戴传感与人机交互时使用的主名。
Human Return Qualia-Music-Rhythm System
人类返回感质-音乐-节律系统
The theoretical name: qualia as input, music as interface, rhythm as return pathway.
理论全名：感质作为输入，音乐作为界面，节律作为返回路径。
BCI-HRP
BCI-HRP
Kept as the future physiological / neural validation branch: HRV, EDA, EEG, fNIRS, and wearable sensing.
保留为未来生理/神经验证分支：HRV、EDA、EEG、fNIRS 与可穿戴传感。
| Old framing / 旧框架 | Risk / 风险 | New framing / 新框架 | Why stronger / 为什么更强 |
|---|---|---|---|
| Brain-Computer Interface 脑机接口 |
Sounds like mature neural decoding or implanted hardware. 容易听成已完成神经解码或植入式硬件。 |
Human-Machine Music Interface 人机音乐接口 |
Accurately names the current core: music, AI, state sampling, sensing-ready validation. 准确命名当前核心：音乐、AI、状态采样、可接传感验证。 |
| BCI Device 脑机设备 |
Requires hardware and neural evidence that is not yet built. 需要当前尚未完成的硬件与神经证据。 |
Research Prototype 研究原型 |
Allows UX testing, micro-pilot data, and lab co-design before neural claims. 允许先进行 UX 测试、micro-pilot 与实验室共同设计。 |
| Music as content 音乐作为内容 |
Looks aesthetic but not testable. 看起来是审美，而非可测试变量。 |
Music as interface 音乐作为界面 |
Sound parameters become controllable intervention variables. 声音参数成为可控制干预变量。 |
People do not lose productivity first. They lose access to themselves.
用户不是先失去生产力，而是先失去返回自己的入口。
HRP begins with a design research problem: when users experience attention fragmentation, emotional overload, transition failure, and body-signal blindness, most tools demand coherence before they can provide support. HRP is designed to meet users before coherence, not after.
HRP 从一个设计研究问题出发：当用户经历注意力碎裂、情绪过载、状态转换失败和身体信号不可读时，很多工具要求用户先保持清醒和自控，才允许他们获得帮助。HRP 的设计目标是在用户尚未恢复清晰之前接住用户。
Problem Statement
Users experiencing attention/emotional fragmentation need a way to recognize and regulate their state without being diagnosed, shamed, or forced into productivity logic.
经历注意力/情绪碎裂的用户，需要一种方式来识别并调节自己的状态，同时不被诊断化、不被羞耻化、不被强迫进入生产力逻辑。
Design Questions
How might we turn body signals into gentle feedback instead of surveillance? How might we use rhythm and sound as a bridge between overwhelm and action? How might AI support agency rather than dependency?
我们如何把身体信号转化成温和反馈，而不是监控？如何用节律和声音连接过载与行动？如何让 AI 支持主体性，而不是制造依赖？
Eight pains the system is designed to answer.
系统回应的八个真实痛点。
Fragmented Attention
注意力碎裂
“I know what to do, but I cannot gather myself into doing it.”
“我知道要做什么，但我无法把自己聚拢到行动里。”
Emotional Overload
情绪过载
Emotion exceeds available regulatory structure.
情绪超过了当下可承载的调节结构。
Transition Failure
状态转换失败
The bridge between rest, action, and recovery is missing.
休息、行动与恢复之间缺少桥。
Body-Signal Blindness
身体信号不可读
Users recognize fatigue only after collapse.
用户往往在崩掉之后才意识到自己已经累了。
Shame-Based Tools
羞耻驱动工具
Scores and streaks turn deviation into failure.
分数和打卡把偏离变成失败。
AI Without Body
没有身体语境的 AI
AI answers text while missing the body state behind it.
AI 回答文字，却错过文字背后的身体状态。
Diagnostic Pressure
诊断压力
Users need functional state language, not immediate medical labeling.
用户需要功能性状态语言，而不是立刻被医学标签化。
Research Credibility Gap
科研可信度缺口
A strong concept needs exportable data and falsifiable controls.
强概念需要可导出的数据和可证伪的对照条件。
From fragmentation to return.
从碎裂到返回。
| Stage | User State / 用户状态 | Pain / 痛点 | HRP Response / HRP 回应 | Validation Metric / 验证指标 |
|---|---|---|---|---|
| Trigger | Task, emotion, or overload begins 任务、情绪或过载开始 | Early drift is missed 早期漂移被错过 | State sampling + behavioral proxy 状态采样 + 行为代理信号 | Time to identify state |
| Confusion | User cannot name the state 用户无法命名状态 | Shame rises 羞耻上升 | Non-diagnostic candidate labels 非诊断化候选标签 | Confusion rating / shame rating |
| Search | User opens tool / AI / music 用户打开工具/AI/音乐 | Too many choices 选择过多 | One recommended rhythm path 一个推荐节律路径 | Time to choose intervention |
| Intervention | Sound / AI / haptic begins 声音/AI/触觉开始 | Resistance or overload 抵抗或过载 | Adaptive intensity + AiQ mode 自适应强度 + AiQ 模式 | Appropriateness rating |
| Return | Coherence begins 连贯性开始恢复 | Transition is fragile 转换脆弱 | Minimum real action 最小真实行动 | Task readiness / completion |
| Reflection | User records what helped 用户记录帮助路径 | Memory fades 记忆消散 | Personal Rhythm Map 个人节律图谱 | Recall / reuse rate |
Cuff → QDR Engine → Human Return App → Return.
袖环 → QDR 引擎 → Human Return App → 返回。
This section preserves the most valuable system architecture from the original BCI site and makes it readable for lab collaboration.
本部分保留原 BCI 网站中最有价值的系统架构，并将其整理为实验室合作可读版本。
Cuff / 袖环
HRV · EDA · temperature · micro-motion · sleep · recovery
心率变异性 · 皮肤电 · 温度 · 微运动 · 睡眠 · 恢复
QDR Engine / 引擎
Pressure · drift · overload · freeze · recovery demand
压强 · 漂移 · 过载 · 冻结 · 恢复需求
Human Return App
Dashboard · protocol · reflection log · rhythm map
仪表盘 · 协议 · 反思记录 · 节律图谱
Return / 返回
Sound · haptics · visual field · AI sentence · action
声音 · 触觉 · 视觉场 · AI 句子 · 行动
Live Rhythm Dashboard
实时节律仪表盘
Current rhythm state, signal confidence, body pressure, recommended mode.
当前节律状态、信号置信度、身体压强与推荐模式。
Return Protocol
返回协议
One sound direction, one haptic pattern, one visual shift, one AI sentence, one minimum real action.
一个声音方向、一个触觉模式、一个视觉变化、一句 AI 返回句、一个最小真实行动。
QDR Reflection Log
QDR 反思记录
Qualia, generated sentence, rhythm field, de-binding sentence, re-tuning action, return result.
感质、生成句、节律场、解绑句、调频行动、返回结果。
Personal Rhythm Map
个人节律图谱
Shows when the user enters flow, drifts, freezes, overloads, recovers, and what helps return.
显示用户何时入流、漂移、冻结、过载、恢复，以及什么帮助返回。
The body sends the signal. The protocol returns the human.
身体发送信号。协议把人返回给自己。
44271 Neural Cuff is a planned wrist-worn neuro-somatic rhythm interface placed on the inner wrist, near the pulse line. It is currently a hardware concept and sensing-layer design, not a validated manufactured device.
44271 Neural Cuff 是一个计划中的腕戴式神经—身体节律接口，位于手腕内侧、靠近脉搏线。它当前是硬件概念与传感层设计，不是已验证量产设备。
PPG · HRV · EDA · Temp · IMU · Haptic Return
PPG/HRV reads cardiovascular rhythm; EDA reads arousal pressure; skin temperature reads thermal drift; IMU reads micro-motion and restlessness; haptics offer pulse-side return cues.
PPG/HRV 读取心血管节律；EDA 读取唤醒压强；皮肤温度读取热漂移；IMU 读取微运动与不安；触觉提供脉侧返回提示。
QDR means Qualia-Driven Rhythm.
QDR 的全称是 Qualia-Driven Rhythm：感质驱动节律。
Qualia-Driven Rhythm is an original theoretical and design-research framework created by Mellow Jueran Wei. It proposes that before a system can meaningfully support attention, emotion, learning, creativity, or self-regulation, it must first sample the lived texture of the user's present state and translate that texture into a temporal pathway of return.
Qualia-Driven Rhythm 是魏珏然创造的原创理论与设计研究框架。它提出：在一个系统能够真正支持注意力、情绪、学习、创作或自我调节之前，它必须先采样用户当下活体状态的质地，并把这种质地转译成一条时间性的返回路径。
QDR = 感质作为输入 × 节律作为路径 × 设计作为转译 × 验证作为边界
The user is not a data point first. The user is a lived state.
用户首先不是一个数据点，而是一个活生生的状态。
Most productivity, wellness, and AI systems begin from an external demand: finish the task, calm down, optimize performance, reduce symptoms, or follow a protocol. QDR begins from a different point: what is the felt quality of the user’s current state, and what rhythm would allow this state to become readable, adjustable, and returnable?
大多数生产力、身心健康与 AI 系统从外部要求开始：完成任务、冷静下来、优化表现、降低症状、遵循协议。QDR 从另一个地方开始：用户当下状态的感受质地是什么？什么节律可以让这个状态变得可读、可调、可返回？
Subjective state texture: scattered, heavy, sharp, numb, overloaded, restless, frozen, open, coherent, ready.
主观状态质地：散、重、锐、麻、过载、不安、冻结、打开、连贯、准备好。
Temporal regulation pathway: attention rhythm, body rhythm, emotional rhythm, learning rhythm, recovery rhythm.
时间性调节路径：注意节律、身体节律、情绪节律、学习节律、恢复节律。
The intervention is not chosen from generic categories; it is driven by the user's current felt state and return need.
干预不是从通用类别里随便选择，而是由用户当下感质与返回需求驱动。
Because the same behavior can carry different inner textures.
因为同一种行为可能承载完全不同的内部质地。
A user who is not working may be bored, frozen, exhausted, overstimulated, ashamed, dissociated, or waiting for the right entry rhythm. A behavior-only system sees inactivity. QDR asks what kind of inactivity this is.
一个没有开始工作的用户，可能是无聊、冻结、疲惫、过度刺激、羞耻、解离，或正在等待正确进入节律。只看行为的系统看到的是“不动”。QDR 问的是：这是哪一种“不动”？
Because regulation happens through time, not only through insight.
因为调节发生在时间中，而不只发生在理解中。
A person can understand what they should do and still be unable to enter action. QDR treats this gap as a rhythm problem: the system must help the body, attention, emotion, and environment re-enter a workable temporal structure.
一个人可以理解自己应该做什么，却仍然无法进入行动。QDR 把这个断裂理解为节律问题：系统必须帮助身体、注意力、情绪与环境重新进入可工作的时间结构。
QDR works through sampling, translation, modulation, and verification.
QDR 通过采样、转译、调制与验证工作。
Qualia Sampling
感质采样
Self-report, language, body tension, inner noise, task readiness, and return-to-self score approximate first-person state.
自评、语言、身体紧绷、内在噪音、任务准备度与返回自己评分近似采样第一人称状态。
Rhythm Detection
节律检测
HRP identifies drift, overload, freeze, flow, recovery demand, transition failure, or safety-seeking.
HRP 识别漂移、过载、冻结、入流、恢复需求、转换失败或寻求安全。
Protocol Mapping
协议映射
The state maps to sound profile, AiAiQ<10 mode, cuff haptic cue, and action scale.
状态被映射到声音剖面、AiAiQ<10 模式、袖环触觉提示与行动尺度。
Return Action
返回行动
The user receives one rhythm path and one minimum real action, not infinite analysis.
用户获得一条节律路径与一个最小真实行动，而不是无限分析。
Validation
验证
Pre/post measures test whether the mapping produced session-related change.
前后测检验这种映射是否产生 session-related change。
| Layer / 层级 | Input / 输入 | QDR Translation / QDR 转译 | Output / 输出 |
|---|---|---|---|
| Qualia Layer 感质层 |
“I feel scattered / numb / overloaded / restless.” “我很散 / 麻 / 过载 / 不安。” |
Convert lived state into state texture. 将活体状态转译为状态质地。 |
Subjective state profile. 主观状态剖面。 |
| Rhythm Layer 节律层 |
Focus drift, emotional pressure, transition failure. 注意力漂移、情绪压强、转换失败。 |
Identify temporal pattern and regulation need. 识别时间模式与调节需求。 |
Rhythm state: drift / overload / freeze / flow / recovery. 节律状态：漂移 / 过载 / 冻结 / 入流 / 恢复。 |
| Intervention Layer 干预层 |
Rhythm state + user preference + cuff signals. 节律状态 + 用户偏好 + 袖环信号。 |
Match to sound, AI mode, haptic cue, and action scale. 匹配声音、AI 模式、触觉提示与行动尺度。 |
Breakbeats / Hyperpop / Synthpop / Darkwave / Ambient Techno / 427Hz / 724Hz. 碎拍 / 超流行 / 合成流行 / 暗潮 / 氛围科技舞曲 / 427Hz / 724Hz。 |
| Validation Layer 验证层 |
Pre/post scores, behavior, HRV, EDA, EEG, fNIRS. 前后测分数、行为、HRV、EDA、EEG、fNIRS。 |
Test whether the QDR mapping produces measurable session-related change. 测试 QDR 映射是否产生可测量的 session-related change。 |
Evidence, revision, or falsification. 证据、修正或证伪。 |
Experience before optimization
经验先于优化
QDR refuses to treat the user as a performance target first. It begins with the felt structure of the current state.
QDR 拒绝首先把用户当作表现优化目标，而是从当下状态的感受结构开始。
State texture before diagnostic label
状态质地先于诊断标签
QDR uses functional state language—drift, overload, freeze, flow—without turning the user into a diagnosis.
QDR 使用功能性状态语言——漂移、过载、冻结、入流——而不是把用户变成诊断对象。
Rhythm before command
节律先于命令
Instead of telling the user to focus, QDR asks what rhythm would make focus possible.
QDR 不先命令用户专注，而是询问什么节律会让专注成为可能。
Return before productivity
返回先于生产力
The goal is not to extract more output from the user, but to help the user regain access to themselves.
目标不是从用户身上提取更多输出，而是帮助用户重新接触自己。
QDR is the logic that connects AiAiQ<10, music, cuff sensing, and micro-pilot validation.
QDR 是连接 AiAiQ<10、音乐、袖环传感与 micro-pilot 验证的逻辑。
AiAiQ<10
AI 交互层
AiQ愛<3 mirrors and stabilizes low-bandwidth states; AiQ愛<7 supports expansion and deep reasoning. QDR decides which mode fits the current rhythm need.
AiQ愛<3 镜像并稳定低带宽状态；AiQ愛<7 支持扩展与深层推理。QDR 判断当前节律需求适合哪个模式。
Sound Matrix
声音矩阵
Breakbeats, Hyperpop, Synthpop, Darkwave, Ambient Techno, 427Hz, and 724Hz are not moods; they are rhythm pathways selected by state texture.
碎拍、Hyperpop、Synthpop、Darkwave、Ambient Techno、427Hz 与 724Hz 不只是情绪氛围，而是由状态质地选择的节律路径。
44271 Neural Cuff
袖环传感层
HRV, EDA, temperature, and IMU do not read the soul. They provide physiological proxies that help QDR test whether a rhythm pathway is associated with state change.
HRV、EDA、温度与 IMU 不是读灵魂，而是提供生理代理信号，帮助 QDR 测试某条节律路径是否与状态变化相关。
Micro-Pilot
微型试验
The micro-pilot tests whether QDR mappings outperform baseline, fixed rhythm, random rhythm, yoked replay, and expectation-control conditions.
micro-pilot 测试 QDR 映射是否优于基线、固定节律、随机节律、配对回放与期待控制条件。
QDR is not a clinical therapy. It is a self-regulation design framework.
QDR 不是临床治疗，而是自我调节设计框架。
QDR can be compared with CBT, DBT, and ACT only as a design research framework. It does not replace clinical therapy, diagnosis, or medical care. Its contribution is to ask what rhythm field produced a thought, emotion, or behavior before trying to correct it.
QDR 只能作为设计研究框架与 CBT、DBT、ACT 对照，不替代临床治疗、诊断或医疗照护。它的贡献是：在急着修正想法、情绪或行为之前，先问是什么节律场生成了它。
| Framework / 框架 | Original Focus / 原本关注 | QDR Reframe / QDR 重写 |
|---|---|---|
| CBT | Cognitive distortion and behavior patterns. 认知扭曲与行为模式。 |
Before challenging the thought, identify the rhythm field that produced it. 在挑战想法之前，先识别生成它的节律场。 |
| DBT | Emotion regulation, distress tolerance, interpersonal skills. 情绪调节、痛苦承受、人际技能。 |
Emotional storm is interpreted as rhythm pressure, not personal failure. 情绪风暴被理解为节律压强，而不是个人失败。 |
| ACT | Acceptance, defusion, values-based action. 接受、脱融合、价值行动。 |
Defusion becomes de-binding: loosening high-pressure sentences and returning through minimum rhythm-aligned action. 脱融合被升级为松动句子：松开高压句，并通过最小节律对齐行动返回。 |
QDR is original, testable, and not yet proven.
QDR 是原创的、可测试的，但尚未被证明。
QDR is a concept created by Mellow Jueran Wei and implemented as a design-research hypothesis inside BCI-HRP. It must be tested through controlled conditions, micro-pilot data, user research, and future physiological / neural validation. AI feedback is not evidence by itself.
QDR 是魏珏然创造的概念，并在 BCI-HRP 中作为设计研究假设实现。它必须通过对照条件、micro-pilot 数据、用户研究，以及未来生理/神经验证来测试。AI 反馈本身不是证据。
AI is the interaction layer, not the scientific proof.
AI 是交互层，不是科学证明本身。
AiAiQ<10 integrates AiQ愛<3 and AiQ愛<7 as distinct interaction modes inside HRP. It supports state sampling, reflective feedback, rhythm recommendation, project reasoning, and pilot logging. It does not replace experimental data.
AiAiQ<10 将 AiQ愛<3 与 AiQ愛<7 作为 HRP 的不同交互模式整合。它支持状态采样、反思反馈、节律推荐、项目推理与 pilot 记录，但不替代实验数据。
GPT + Claude / Stabilization + Mirror
GPT + Claude / 稳定 + 镜像
Low-bandwidth support for fragmented states: emotional pacing, reflective mirror, human return, safety language.
面向碎裂状态的低带宽支持：情绪定速、反思镜像、人类返回、安全语言。
Gemini + DeepSeek / Expansion + Deep Reasoning
Gemini + DeepSeek / 扩展 + 深层推理
High-bandwidth support for strategic reasoning, project propulsion, critique, and scientific boundary checking.
面向战略推理、项目推进、反证审查与科学边界校验的高带宽支持。
Music is the adaptive intervention layer between body signal and human return.
音乐是身体信号与人类返回之间的自适应干预层。
In BCI-HRP, music is not background ambience. It is the controllable auditory stimulus layer: BPM, syncopation, spectral density, repetition, timbre, amplitude modulation, and dynamic range are sampled as experimental variables and mapped to user state, AI feedback, and cuff-based physiological sensing.
在 BCI-HRP 中，音乐不是背景氛围，而是可控制的声音刺激层：BPM、切分深度、频谱密度、重复度、音色、振幅调制与动态范围都会被采样为实验变量，并映射到用户状态、AI 反馈与袖环生理传感。
BODY ENTRY
Breakbeats act as the entry language for high-density perception: irregular hits train uncertainty tolerance, interrupt dissociation, and help the body re-enter flexible timing.
碎拍是高密度感知系统的入口语言：不规则打击训练不确定性承受，打断解离，并帮助身体重新进入灵活时间。
132–150
medium-high
broken loop
From physiological signal to music prescription to return feedback.
从生理信号到音乐处方，再到返回反馈。
Detect
检测
44271 Cuff reads HRV, EDA, temperature drift, and micro-motion.
44271 袖环读取 HRV、皮肤电、温度漂移与微运动。
Infer
推断
QDR estimates rhythm state: drift, overload, freeze, flow, recovery.
QDR 推断节律状态：漂移、过载、冻结、入流、恢复。
Prescribe
处方
Sound matrix selects genre profile, BPM, syncopation, density, and anchor.
声音矩阵选择类型、BPM、切分深度、密度与锚点。
Return
返回
App plays sound; cuff sends pulse-side haptic cue; AiAiQ<10 mirrors state.
App 播放声音；袖环发送脉侧触觉提示；AiAiQ<10 镜像状态。
Measure
测量
Pre/post state and physiology are logged for validation.
前后测状态与生理信号被记录用于验证。
What the cuff detects and how music adapts.
袖环检测什么，以及音乐如何自适应。
| Signal / 信号 | What it may indicate / 可能指示 | Music response / 音乐响应 | Scientific boundary / 科学边界 |
|---|---|---|---|
| HRV | Autonomic regulation, stress recovery, rhythm stability. 自主神经调节、压力恢复、节律稳定度。 |
Low HRV + high pressure → Ambient Techno / Darkwave / 427Hz anchor for down-regulation. HRV 偏低且压强高 → 氛围科技舞曲 / 暗潮 / 427Hz 锚点用于降载。 |
HRV is proxy, not direct emotion reading. HRV 是代理指标，不是直接读情绪。 |
| EDA / Skin Conductance | Arousal pressure, sympathetic activation. 唤醒压强、交感激活。 |
Rising EDA → reduce spectral density, lower tempo, soften transient sharpness. EDA 上升 → 降低频谱密度、降低速度、柔化瞬态。 |
EDA cannot identify cause of arousal alone. EDA 不能单独判断唤醒原因。 |
| Skin Temperature | Thermal drift, fatigue, stress response, peripheral regulation. 热漂移、疲惫、压力反应、外周调节。 |
Cooling / drift pattern → slower anchor, less aggressive rhythm, more spatial pad. 降温/漂移模式 → 更慢锚点、更少攻击性节奏、更多空间铺底。 |
Temperature is slow and context-sensitive. 温度变化慢且受环境影响。 |
| IMU / Micro-motion | Restlessness, freeze, fidgeting, transition difficulty. 不安、冻结、小动作、转换困难。 |
High restless motion → Breakbeats for flexible entry; low motion + low readiness → Drift Phonk / Synthpop activation. 微运动不安 → 碎拍进入；低动作低准备度 → Drift Phonk / Synthpop 激活。 |
Motion is behavioral context, not diagnosis. 动作是行为语境，不是诊断。 |
| Self-report + AiAiQ<10 | Subjective state texture: focus, emotion, body tension, inner noise. 主观状态质地：注意、情绪、身体紧绷、内在噪音。 |
Combines user-declared state with physiological proxies to choose sound protocol. 结合用户自述状态与生理代理信号选择声音协议。 |
User remains final authority; AI is support layer. 用户保留最终解释权；AI 是支持层。 |
| Genre / 类型 | Sampling Variables / 采样变量 | State Target / 状态目标 | Cuff Trigger / 袖环触发 |
|---|---|---|---|
| Breakbeats 碎拍 | BPM 132–150, high syncopation, irregular hits, medium-high density. | Uncertainty tolerance, anti-dissociation, flexible re-entry. 不确定性承受、反解离、灵活返回。 | High IMU restlessness + fragmented focus. 高微运动 + 注意力碎裂。 |
| Hyperpop 超流行 | BPM 150–175, high spectral density, bright transient, controlled overload. | Peak traversal, intensity permission, safe apex then descent. 峰值穿越、强度许可、安全抵达再下降。 | High arousal with high readiness, not freeze. 高唤醒且高准备度，非冻结。 |
| Synthpop 合成流行 | BPM 95–125, stable 4/4, melodic predictability, vocal warmth. | First breath, emotional narrative access, social safety. 第一口呼吸、情绪叙事入口、社交安全感。 | EDA decreasing + task readiness emerging. EDA 下降 + 任务准备度出现。 |
| Drift Phonk 漂移 Phonk | BPM 120–160, heavy kick, cowbell pulse, strong low-frequency drive. | Embodiment, somatic activation, physical drive. 具身、身体激活、物理驱动。 | Low motion + low energy + low task readiness. 低动作 + 低能量 + 低任务准备度。 |
| Darkwave 暗潮 | BPM 70–110, minor mode, deep reverb, low spectral glare. | Shadow integration, controlled descent, mourning regulation. 阴影整合、可控下降、哀悼调节。 | High emotional intensity + need for down-regulation. 高情绪强度 + 需要下降调节。 |
| Ambient Techno 氛围科技舞曲 | BPM 105–130, minimal pulse, atmospheric pad, low surprise. | Spatial focus, environmental regulation, flow infrastructure. 空间专注、环境调节、心流基础设施。 | Moderate arousal + need for sustained focus. 中等唤醒 + 需要持续专注。 |
| 427Hz Anchor 427Hz 锚点 | Anchor tone, low modulation, stable reference layer. | System coherence, return marker, transition closure. 系统一致性、返回标记、转换闭合。 | End of session, overload cooling, post-intervention stabilization. session 结束、过载冷却、干预后稳定。 |
Mellow returns through 427Hz.
Stallion stabilizes through 724Hz.
Mellow 通过 427Hz 返回。
Stallion 通过 724Hz 稳定。
The two routes are not weak/strong versions of each other. They are different nervous-system pathways. Mellow enters through density and returns through 427Hz. Stallion enters through safety and seals through 724Hz.
两条路径不是强弱版本，而是不同神经系统路径。Mellow 从密度进入，并通过 427Hz 返回。Stallion 从安全进入，并通过 724Hz 封存稳定。
Mellow Return Route
Mellow 返回路径
427Hz is treated as the return anchor: a frequency layer used after density, peak traversal, overload, or fragmentation. In the prototype, it functions as a post-intervention stabilization marker and transition closure signal.
427Hz 被设定为返回锚点：用于密度、峰值穿越、过载或碎裂之后。在原型中，它作为干预后的稳定标记与转换闭合信号。
Stallion Stabilization Route
Stallion 稳定路径
724Hz is treated as the stabilization anchor: a frequency layer used when the system needs safety, sealing, steadiness, and low-threat continuity. In the prototype, it can be tested as a safety-route auditory marker.
724Hz 被设定为稳定锚点：用于系统需要安全、封存、稳定与低威胁连续性时。在原型中，它可作为安全路径的声音标记被测试。
427Hz and 724Hz become testable auditory markers, not mystical proof.
427Hz 与 724Hz 成为可测试的声音标记，而不是神秘证明。
State Detection
状态检测
HRV, EDA, temperature, IMU, self-report, and AiAiQ<10 state notes estimate whether the user is in density, overload, freeze, drift, or safety-seeking mode.
HRV、EDA、温度、IMU、自评与 AiAiQ<10 状态记录共同估计用户处于密度、过载、冻结、漂移或寻求安全模式。
Route Selection
路径选择
Density route selects 427Hz as return closure. Safety route selects 724Hz as stabilization seal.
密度路径选择 427Hz 作为返回闭合；安全路径选择 724Hz 作为稳定封存。
Haptic Coupling
触觉耦合
The cuff can pair each anchor with a distinct pulse-side haptic pattern: soft return pulse for 427Hz, steady sealing pulse for 724Hz.
袖环可以把每个锚点配对为不同脉侧触觉模式：427Hz 对应柔和返回脉冲；724Hz 对应稳定封存脉冲。
Validation
验证
Compare pre/post focus, emotional intensity, inner noise, HRV, EDA, and user-reported safety/return ratings across 427Hz, 724Hz, and neutral anchors.
比较 427Hz、724Hz 与中性锚点条件下的前后测注意力、情绪强度、内在噪音、HRV、EDA 与用户安全/返回评分。
Dual-anchor testing must include neutral and randomized anchors.
双锚点测试必须包含中性锚点和随机锚点。
| Condition / 条件 | Auditory Marker / 声音标记 | Purpose / 目的 | Interpretation Boundary / 解释边界 |
|---|---|---|---|
| A · Neutral Anchor A · 中性锚点 |
Non-symbolic tone or ambient bed 无象征含义音调或环境铺底 |
Controls for simple sound exposure. 控制普通声音暴露效应。 |
Any improvement here means sound alone may help. 若这里也改善，说明单纯声音可能有效。 |
| B · 427Hz Return B · 427Hz 返回 |
427Hz anchor after density / overload 密度/过载后的 427Hz 锚点 |
Tests return-route hypothesis. 测试返回路径假设。 |
Can show association, not universal frequency truth. 只能显示相关性，不证明普适频率真理。 |
| C · 724Hz Stabilization C · 724Hz 稳定 |
724Hz anchor during safety / sealing 安全/封存时的 724Hz 锚点 |
Tests stabilization-route hypothesis. 测试稳定路径假设。 |
Can show perceived safety/stability change, not diagnosis. 可显示安全/稳定感变化，不用于诊断。 |
| D · Random Anchor D · 随机锚点 |
Randomized frequency marker 随机频率标记 |
Controls for novelty and expectation. 控制新奇感与期待效应。 |
If random performs equally, symbolic route must be revised. 若随机同样有效，象征路径必须修正。 |
Everything valuable from BCI, reorganized for lab review.
把 BCI 中有价值的内容重组为实验室可审阅原型栈。
1 · Lab Portal
Professional collaboration-facing research site.
面向合作实验室的专业研究入口。
2 · UX Research Case
Empathize, Define, HMW, Journey Map, Ideation, Testing.
共情、定义、HMW、用户旅程、构思、测试。
3 · AiAiQ<10 Portal
Dual AI operating layer: AiQ愛<3 / AiQ愛<7.
双 AI 操作层：AiQ愛<3 / AiQ愛<7。
4 · QDR Engine
Auditable state-to-feedback logic.
可审计的状态到反馈逻辑。
5 · Human Return App Flow
Dashboard, protocol, reflection log, personal rhythm map.
仪表盘、协议、反思记录、个人节律图谱。
6 · 44271 Neural Cuff
Planned wearable sensing + haptic return layer.
计划中的可穿戴传感 + 触觉返回层。
7 · Sound Matrix
Operational genre-driven intervention profiles.
可操作的类型驱动声音干预剖面。
8 · 2-Min Task
Rhythm-gated target detection task for attention proxy.
用于注意力代理指标的节律门控目标检测任务。
9 · Data Export
CSV schema for micro-pilot and lab extension.
用于 micro-pilot 与实验室扩展的 CSV 数据结构。
From strong concept to falsifiable study.
从强概念进入可证伪研究。
The controlled design separates natural recovery, fixed-rhythm effects, random novelty, adaptive contingency, AI mode effects, and expectation/placebo effects.
该对照设计区分自然恢复、固定节律效果、随机新奇效应、自适应条件性、AI 模式影响与期待/placebo 效应。
| Condition | Purpose | What it controls |
|---|---|---|
| A · Baseline Rest A · 基线休息 | Silence or neutral ambient sound. | Natural recovery / regression to mean. |
| B · Fixed Rhythm B · 固定节律 | One pre-selected sound profile. | Generic rhythm effect. |
| C · Random Rhythm C · 随机节律 | Non-state-contingent random sound profile. | Novelty and variety effect. |
| D · Adaptive + AiQ愛<3 D · 自适应 + AiQ愛<3 | Stabilization / mirror feedback. | Low-bandwidth reflective AI support. |
| E · Adaptive + AiQ愛<7 E · 自适应 + AiQ愛<7 | Expansion / deep reasoning feedback. | High-bandwidth reasoning support. |
| F · Yoked Replay F · 配对回放 | Replay another session’s adaptive sequence. | True adaptation vs. sequence exposure. |
| G · Expectation-Control Script G · 期待控制脚本 | Standardized neutral explanation. | Demand characteristics / placebo expectation. |
Tokyo-before data: N=8–12, exploratory, non-clinical.
东京前数据：N=8–12，探索性、非临床。
This form is a local mockup for the exact data schema to be used before lab collaboration. It records subjective pre/post state, AI mode, audio condition, behavioral proxy outcomes, and notes. Exportable CSV is the minimum credibility threshold.
该表单是实验室合作前可用的数据结构模拟，记录前后测主观状态、AI 模式、声音条件、行为代理结果与备注。可导出 CSV 是最低可信度门槛。
Preserved from the original BCI: the deep mirror layer.
从原 BCI 保留：深层镜像层。
00Overview Map / 总览地图
HRP is a complete human rhythm-return system, not merely an app, device, or therapy concept.
HRP 是完整的人类节律返回系统，不是单一 App、硬件或治疗概念。
Overview Map / 总览地图
HRP is a complete human rhythm-return system, not merely an app, device, or therapy concept.
HRP 是完整的人类节律返回系统，不是单一 App、硬件或治疗概念。
Historical significance: HRP moves technology away from optimizing human output and toward helping humans perceive, protect, regulate, and return to their own rhythm.
历史意义：HRP 把技术从优化人类输出转向帮助人重新感知、保护、调节并返回自身节律。
01Philosophical Foundation / 哲学基础
Qualia before cognition; rhythm sovereignty; embodied time.
认知之前的感质；节律主权；具身时间。
Philosophical Foundation / 哲学基础
Qualia before cognition; rhythm sovereignty; embodied time.
认知之前的感质；节律主权；具身时间。
QDR does not solve the hard problem. It designs a system that samples, responds to, and protects first-person qualia.
QDR 不解决意识难问题，而是设计一个采样、回应、保护第一人称感质的系统。
02System Architecture / 系统架构
Every arrow is a translation; every translation is a risk point.
每个箭头都是一次转译，每次转译都是一个风险点。
System Architecture / 系统架构
Every arrow is a translation; every translation is a risk point.
每个箭头都是一次转译，每次转译都是一个风险点。
Physiological signal to rhythm state must be framed as probabilistic inference, not mind-reading.
从生理信号到节律状态必须是概率推断，不是读心。
03Hardware Logic / 硬件逻辑
Inner wrist, pulse line, no watch face.
内腕、脉搏线、无表盘。
Hardware Logic / 硬件逻辑
Inner wrist, pulse line, no watch face.
内腕、脉搏线、无表盘。
The cuff is a private interface, not a productivity watch.
袖环是私密界面，不是生产力手表。
04QDR Framework / QDR 框架
Pain is not malfunction; pain is rhythm information.
痛苦不是故障，痛苦是节律信息。
QDR Framework / QDR 框架
Pain is not malfunction; pain is rhythm information.
痛苦不是故障，痛苦是节律信息。
Five steps: sample, locate, de-bind, re-tune, minimum action.
五步：采样、定位、松动、重调、最小行动。
05Research Positioning / 研究定位
Learning Sciences + HCI + Sound + AI.
学习科学 + HCI + 声音 + AI。
Research Positioning / 研究定位
Learning Sciences + HCI + Sound + AI.
学习科学 + HCI + 声音 + AI。
HRP can be framed as Rhythm-Regulated Learning.
HRP 可被定位为节律调节学习。
06Internal Tensions / 内在张力
External BCI support vs. internal rhythm sovereignty.
外部 BCI 支持与内部节律主权之间的张力。
Internal Tensions / 内在张力
External BCI support vs. internal rhythm sovereignty.
外部 BCI 支持与内部节律主权之间的张力。
The system must be scaffold, not permanent authority.
系统必须是脚手架，而不是永久权威。
07Competitive Landscape / 竞争格局
Not optimization system, but return system.
不是优化系统，而是返回系统。
Competitive Landscape / 竞争格局
Not optimization system, but return system.
不是优化系统，而是返回系统。
Differs from Muse, Whoop, Oura, Apple Watch, Calm, Headspace, Neuralink.
区别于 Muse、Whoop、Oura、Apple Watch、Calm、Headspace、Neuralink。
08Sound Science / 声音科学
Sound is bodily intervention.
声音是身体干预。
Sound Science / 声音科学
Sound is bodily intervention.
声音是身体干预。
Entrainment, autonomic regulation, spatial anchoring, qualia return.
同步、自主神经调节、空间锚点、感质返回。
09Ethics / 伦理
No diagnosis, no surveillance, user-correctable labels.
无诊断、无监控、用户可修正标签。
Ethics / 伦理
No diagnosis, no surveillance, user-correctable labels.
无诊断、无监控、用户可修正标签。
Data minimization, trauma-informed design, neurodiversity affirmation.
数据最小化、创伤知情设计、神经多样性肯定。
10Action Roadmap / 行动路线
Prototype, micro-pilot, lab validation.
原型、micro-pilot、实验室验证。
Action Roadmap / 行动路线
Prototype, micro-pilot, lab validation.
原型、micro-pilot、实验室验证。
Now: stabilize prototype. Soon: N=8–12 micro-pilot. Later: HRV/EDA/EEG/fNIRS collaboration.
现在：稳定原型。近期：N=8–12 micro-pilot。之后：HRV/EDA/EEG/fNIRS 合作验证。
The attack layer: make the lab understand why this matters now.
进攻层：让实验室理解为什么现在值得谈。
One-sentence project description
HRP is a falsifiable adaptive auditory-AI prototype that tests whether personalized rhythm and reflective AI feedback can support attention/emotional self-regulation and future physiological / neural validation.
HRP 是一个可证伪的自适应声音-AI原型，用于测试个性化节律与反思性 AI 反馈是否支持注意/情绪自我调节，并为未来生理/神经验证铺路。
Tokyo collaboration framing
We have the interaction architecture and validation pathway; we seek a BCI / NeuroAI lab to help validate sensing, controls, and neural measures.
我们已有交互架构和验证路径；希望与 BCI / NeuroAI 实验室合作验证传感层、对照条件和神经指标。
30-second pitch
I am building Human Return Protocol, an early-stage adaptive auditory-AI research prototype for attention and emotional self-regulation. It does not claim to be a completed BCI or medical device. It tests whether adaptive rhythm + AI feedback can produce measurable session-related changes in self-report, behavior, and future physiological/neural signals. I am seeking Tokyo-based BCI / NeuroAI collaboration for EEG, fNIRS, HRV, EDA, acoustic feature analysis, and pilot validation.
我正在做 Human Return Protocol，一个用于注意力与情绪自我调节的早期自适应声音-AI研究原型。它不声称是已完成脑机或医疗设备。它测试自适应节律 + AI 反馈是否能在主观报告、行为、以及未来生理/神经信号中产生可测量的 session-related 变化。我正在寻找东京 BCI / NeuroAI 合作方，共同推进 EEG、fNIRS、HRV、EDA、声学特征分析与 pilot 验证。
Why this is worth a neuroscience / BCI / NeuroAI meeting.
为什么这值得一次神经科学 / BCI / NeuroAI 会谈。
Human Return Music Interface is not only a technical system. It is a user-centered human-machine music research project. The goal is to validate both lived user need and physiological / neural mechanisms — neither layer alone is sufficient.
Human Return Music Interface 不只是技术系统，它是一个以用户为中心的人机音乐研究项目。目标是同时验证真实用户需要与生理/神经机制——任何一个单独层面都不充分。
Human Return Music Interface は単なる技術システムではなく、ユーザー中心の Human-Machine Music Interface 研究プロジェクトです。ユーザーの実際のニーズと生理・神経メカニズムの両方を検証するため、東京の BCI / NeuroAI / 神経科学研究室との共同研究を希望しています。
Who should care
适合合作对象
UTokyo IRCN, RIKEN CBS, ARAYA, NTT Communication Science Labs, Keio, Sony CSL, ATR / CiNet.
东京大学 IRCN、RIKEN CBS、ARAYA、NTT、Keio、Sony CSL、ATR / CiNet。
What we ask
合作请求
Protocol feedback, lab visit, pilot collaboration, sensing-layer validation, EEG/fNIRS/HRV/EDA integration.
实验协议反馈、实验室访问、pilot 合作、传感层验证、EEG/fNIRS/HRV/EDA 接入。
What we bring
我们带来的东西
UX research logic, prototype stack, AI interaction layer, sound matrix, controlled experiment design, micro-pilot data structure.
UX 研究逻辑、原型栈、AI 交互层、声音矩阵、对照实验设计、micro-pilot 数据结构。