Solutions行业方案
Scenario-oriented affective computing, human-factors intelligence, psychological computing, and deployable software-hardware solutions for industry and public-sector partners.面向产业与公共场景的情感计算、人因智能、心理计算和软硬件一体化解决方案。
When emotion and human factors become the core of a scenario, a generic model is not enough.当情感与人因成为场景核心，通用模型就不够了。
Many partners begin with a seemingly simple need: recognize emotion, measure stress, detect fatigue, assess mental state, or improve human performance. In practice, these needs usually require a complete route: define the scene, select reliable signals, design assessment logic, model mind-body state, decide what support is appropriate, and deploy the system in a way that people can trust.很多合作方最初提出的需求看起来很简单：识别情绪、测量压力、检测疲劳、评估心理状态，或者提升身心效能。但真正做起来，往往需要一整条路线：定义场景、选择可靠信号、设计评价逻辑、建模身心状态、判断适合的支持方式，并把系统部署到用户能够信任的环境中。
MAC-Lab can provide algorithm modules, methods, platforms, and pilot validation, helping partners move from a scattered requirement to a responsible, testable, and deployable solution route.MAC-Lab 可以提供算法模块、方法体系、平台方案和试点验证，帮助合作方把分散需求整理成负责、可测试、可部署的解决方案路线。
From perception to intervention, the solution is designed as a full stack.从感知到干预，形成完整能力栈。
Multimodal affective recognition多模态情感识别
Text, speech, facial expression, posture, gaze, behavior, physiology, interaction logs, and environmental context are combined into scene-aware affective perception.融合文本、语音、表情、姿态、眼动、行为、生理、交互日志和环境情境，构建贴近场景的情感感知路线。
Mind-state and task-state modeling心智状态与任务状态建模
Stress, fatigue, attention, cognitive load, motivation, emotion, and task context are modeled together so human state can support real decisions.连接压力、疲劳、注意、认知负荷、动机、情绪和任务情境，帮助合作方理解人的状态对真实决策意味着什么。
Mind-body capability evaluation身心能力评价
For different roles and scenarios, MAC-Lab helps design indicators, baselines, protocols, dashboards, and validation methods.面向不同岗位和场景，设计能力、风险、韧性与绩效相关的指标、基线、流程、看板和验证方法。
Support and performance enhancement支持干预与效能提升
The route moves from detection to feedback, warning, training, interaction, intervention, and platform-level services.从检测进一步走向反馈、预警、训练、交互、干预和平台级服务，支撑长期身心效能优化。
Partners usually need a route they can pilot, not a model they can only watch.合作方需要的是可试点的路线，而不是只能观看的模型。
The same technical base can take different forms in schools, mobility, public-service spaces, human-factor teams, and embodied interaction products. The important step is to translate a human-state question into measurable signals, meaningful indicators, and usable delivery.同一技术底座在学校、出行、公共服务、人因团队和具身交互产品中会呈现不同形态。关键是把人的状态问题转化为可测信号、有意义指标和可使用交付物。
Student mind-body growth and campus care学生心身成长与校园关护
Need场景需求 screening, growth support, early awareness, teacher-student collaboration, and non-stigmatizing intervention.筛查、成长支持、早期感知、师生协同和非标签化干预。
Route实验室路线 combine campus data boundaries, multimodal assessment, mind-body profiles, and human-in-the-loop review.结合校园数据边界、多模态评估、身心画像与人在回路复核。
Delivery可交付形态 student growth dashboard, assessment devices, counseling support tools, and staged pilot reports.学生成长看板、评测设备、咨询支持工具和阶段性试点报告。
Smart cockpit emotion and safety intelligence智能座舱情感与安全智能
Need场景需求 fatigue, stress, trust, attention, passenger experience, and timing of interaction.疲劳、压力、信任、注意、乘员体验和交互时机。
Route实验室路线 fuse voice, vision, behavior, task context, and emotional interaction policies.融合语音、视觉、行为、任务情境与情感交互策略。
Delivery可交付形态 cockpit state model, interaction prototype, evaluation protocol, and partner-side integration route.座舱状态模型、交互原型、评测流程和合作方集成路线。
Role-fit assessment and performance support岗位适配评价与身心效能支持
Need场景需求 cognitive workload, resilience, risk trend, training effect, and scenario-specific capability.认知负荷、韧性、风险趋势、训练效果和场景化能力。
Route实验室路线 connect baseline modeling, task-state inference, stress response, and reviewable indicators.连接基线建模、任务状态推断、压力反应和可复核指标。
Delivery可交付形态 evaluation protocol, operator dashboard, training feedback, and field-validation report.评价流程、人员状态看板、训练反馈和现场验证报告。
Digital humans, robots, and companion agents数字人、机器人与陪伴智能体
Need场景需求 emotional perception, memory, personality, expression control, safety, and long-term trust.情感感知、记忆、人格、表达控制、安全边界和长期信任。
Route实验室路线 build affective mind-state layers over multimodal grounding and scenario reasoning.在多模态接地和场景推演之上构建情感心智状态层。
Delivery可交付形态 embodied interaction demo, role design, safety review, and product-facing evaluation.具身交互演示、角色设计、安全复核和面向产品的评测。
The value is not a single algorithm, but a complete human-state operating system for the scene.价值不在单点算法，而在面向场景的人状态能力体系。
A real deployment normally asks four questions at once: what can be sensed, what the state means, what decision it should support, and how the organization can keep using it responsibly.真实部署通常会同时提出四个问题：能感知什么，状态意味着什么，应支撑什么决策，以及组织怎样长期、负责地使用这一能力。
Close-range mind-body assessment近距离身心评估
For counseling rooms, assessment cabins, interviews, training reviews, and guided interaction, multimodal evidence can be collected through voice, expression, gaze, posture, dialogue, and task behavior.面向咨询室、评估舱、访谈、训练复盘和引导式交互，可融合语音、表情、视线、姿态、对话和任务行为形成多模态证据。
Ambient sensing and organizational awareness中距离无感感知与组织态势
For campuses, teams, public service spaces, and safety-critical environments, non-contact sensing and longitudinal baselines can support early awareness, trend tracking, and human-in-the-loop review.面向校园、团队、公共服务空间和安全关键环境，非接触感知与长期基线可支撑早期感知、趋势跟踪和人在回路复核。
Remote signal analysis and group-level insight远距离信号分析与群体洞察
For public communication, service feedback, online communities, and scenario simulation, text, audio, video, and interaction traces can be organized into individual and group-level affective insight.面向公共传播、服务反馈、线上社群和场景推演，可将文本、音视频与交互痕迹组织为个体和群体层面的情感洞察。
A long research route across affective NLP, multimodal affective computing, human-computer interaction, psychological computing, and embodied emotional intelligence.长期覆盖情感自然语言处理、多模态情感计算、人机交互、心理计算和具身情感智能。
Platform lines such as Mindmirror, MindScore, MindTalk, MindOS, and embodied interaction systems show that the lab has moved beyond isolated demos.Mindmirror、MindScore、MindTalk、MindOS 与具身交互系统等平台线说明团队已经走过单点演示阶段。
Deployment work requires scenario definition, signal validation, user acceptance, privacy design, edge constraints, dashboards, operation, and iteration.落地工作需要场景定义、信号验证、用户接受度、隐私设计、边缘约束、看板、运维和持续迭代。
Built for scenes where human state changes the outcome.面向“人的状态会改变结果”的场景。
Each track can begin from a small pilot and grow into datasets, models, dashboards, devices, or software-hardware integrated platforms.每个方向都可以从小型试点开始，逐步沉淀为数据、模型、看板、设备或软硬件一体化平台。
Smart Cockpit and Mobility Safety智能座舱与出行安全
Driver and passenger state modeling goes beyond fatigue detection. Emotion, stress, cognitive load, attention, trust, environmental context, and interaction timing must be considered together.驾驶员与乘员状态建模不只是疲劳检测，还涉及情绪、压力、认知负荷、注意、信任、环境情境和交互时机。
Education, Campus Mental Health, and Student Growth教育心理、校园健康与学生成长
Screening, early warning, learning-state analysis, supportive feedback, and human-in-the-loop intervention need careful boundaries.筛查、预警、学习状态分析、支持性反馈和人在回路的干预机制需要清晰边界。
Healthy Living and Active Health健康人居与主动健康
Environmental variables are linked with human mind-body state through measurement, evaluation, and adaptive support.把环境变量与人的身心状态连接起来，形成测量、评价与自适应支持路线。
Public Safety and Mission-Oriented Human Performance公共安全与重大任务人因效能
Stress, fatigue, risk, resilience, attention, decision behavior, and role-specific capability are modeled with field validation.压力、疲劳、风险、韧性、注意、决策行为和岗位能力需要在现场验证中建模。
Digital Humans, Robots, and Emotional Interaction数字人、机器人与具身情感交互
The goal is to recognize human state, choose appropriate responses, control expression, remember context, and remain safe.目标是识别人的状态，选择合适回应，控制表达方式，记住情境并保持安全边界。
Enterprise Mind-Body Capability and Role Fit企业身心能力与岗位适配
Capability evaluation, cognitive-load monitoring, stress-risk analysis, and performance-support routes should be explainable and acceptable.能力评价、认知负荷监测、压力风险分析和效能支持路线，需要可解释、可接受。
Scene diagnosis → technical route → pilot validation.场景诊断 → 技术路线 → 试点验证。
- Define定义问题scenario goals, users, constraints, success criteria场景目标、用户角色、约束条件、成功标准
- Prototype原型验证signal feasibility, pilot data, model route, dashboard logic信号可行性、试点数据、模型路线、看板逻辑
- Deploy场景落地software-hardware demonstrator, protocol, validation, iteration软硬件演示、流程规范、现场验证、持续迭代
Partner question this page answers这个页面回答合作方的核心问题
If a scenario depends on human emotion, stress, cognition, safety, trust, service quality, or mind-body performance, MAC-Lab can help define the problem and build a route from research insight to deployable capability.如果一个场景依赖人的情绪、压力、认知、安全、信任、服务质量或身心效能，MAC-Lab 可以帮助定义问题，并把研究判断推进到可部署能力。