臺大IoX創新研究中心

Augmented Collective Beings 人機共生之感知關鍵技術

隨著聯網與自動系統持續地發展，其所產生的資訊量終究會達到人類知覺的極限。如果是用資訊科技的比喻來看，人類天生的視覺、聽覺、觸覺、嗅覺、以及味覺等宛如落後的感測器(sensors)，而我們的大腦則如同跟不上時代的處理器(processor)。
面對這必然到來的挑戰，本中心致力開發「智慧人機共生感知關鍵技術(ACB: Augmented Collective Beings)」，希望能在自動化的智慧機器的網絡中，保留人類不僅是可以落足、且甚至透過人機間的互動能進而協助系統的改良。有別於推進機器與自動化發展等工業4.0的學派，ACBs技術傾注發展能量的對象是「人」。我們希望藉由超感知(super-sensing)、超認知(super-cognitive)、超通訊(super-communicative)實現人與機器間的無縫互動。

智慧工廠

Smart Factory: Real-Time Monitoring/Tracking of Human, Equipment and infrastructure

工廠是一個充滿人和機器的場域，互動型態也自然地包含了人與人、人與機、機與機、及硬體系統等多種形態。本中心選擇由此切入，深入探討創新的IoT感知與通訊技術。同時，通過對人、物、系統的即時感測、追蹤、與分析，大幅擴增人與機器共事的協同效益 (synergy)，創造出更安全(secured)、更安心(safe)、更有效率(superefficient)的人機共生智慧工廠(smart factory)。

智慧工作站

Smart Task Space: Multi-Modal Sensing and Feedback for Knowledge Transfer

藉由設置多模態性(multimodality)的偵測與反饋機制，智慧工作站將可從細微的資訊中精準地了解工作者的狀態，並且即時地用最有效果的方式給予支援。利用電腦視覺、語音辨識、無線射頻辨識、慣性測量、觸覺反饋、以及光線視覺提示等技術的整合，將物件、人、與知識資料庫間進行無縫串聯，這套系統可以被運用在資深與新進工作者之間的知識傳遞、大幅提升工作效能。

SIG

Sensing

SIG-Sensing covers physical sensors, personal interface devices, and the personal interface device platform. Research challenges of interest are sensors, sensor platforms, and sensor data processing units that are low-power, reconfigurable, flexible, and extensible. The research issues of interconnect sensors and devices are considered in this SIG. The challenges of the networking issues are body-area networks and scalable security protocols. The challenges of system-level security and privacy protocols and load balancing mechanisms are addressed in this SIG.

SIG

Learning

SIG-Learning focuses on the processing and handling of various types (visual, audio, bio-signals, etc.) and quantities (e.g., big data) of sensor data. The challenges involve adaptive machine learning techniques that turn low-level data into high-level knowledge that is then used to anticipate future changes in the environment.

SIG

Interaction

SIG-Interaction involves the design of various personal and AR/VR interfaces that interact naturally with humans. The applications that leverage and integrate technologies from SIG-Learning and SIG-Sensing to build ACB applications.

場域技術群	智慧工作站	智慧工廠
技術群場域 Interaction SIG	智慧工作站 Social Computing: Supporting Grounding in Communication with IoT-based Knowledge Sharing and Learning Midas Touch: Finger-Worn Interaction Device for Connecting the Connected Things	智慧工廠 Natural and Seamless Interaction
技術群場域 Learning SIG	智慧工作站 Interactive Dialogue Learning Learning in Compressed Domain Development of Light Learning Engine in Fog Computing Environments InterActive Machine Learning	智慧工廠
技術群場域 Sensing SIG	智慧工作站	智慧工廠 DynaCollect Enhancing Security and Privacy in Augmented Collective Beings Next-Generation CamCom Distributed Intelligence

場域技術群	Interaction SIG	Learning SIG	Sensing SIG
場域技術群智慧工作站	Interaction SIG Social Computing: Supporting Grounding in Communication with IoT-based Knowledge Sharing and Learning Midas Touch: Finger-Worn Interaction Device for Connecting the Connected Things	Learning SIG Interactive Dialogue Learning Learning in Compressed Domain Development of Light Learning Engine in Fog Computing Environments InterActive Machine Learning	Sensing SIG
場域技術群智慧工廠	Interaction SIG Natural and Seamless Interaction	Learning SIG	Sensing SIG DynaCollect Enhancing Security and Privacy in Augmented Collective Beings Next-Generation CamCom Distributed Intelligence