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DTSTART:20380119T111407
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BEGIN:VEVENT
DTSTAMP:20260621T150608Z
UID:1B70DD09-ABF1-4E5A-A025-AF2A97E86D1E
DTSTART;TZID=Asia/Singapore:20260618T090000
DTEND;TZID=Asia/Singapore:20260618T123000
DESCRIPTION:This half-day STEM outreach workshop introduces pre-university 
 students from HCI (JC) under the CENTAD programme to hands-on experimental
  research using 32-channel EEG and multimodal sensing technologies. The wo
 rkshop is designed to prepare students for upcoming research projects invo
 lving brain–computer interfaces\, human–machine interaction\, cognitiv
 e neuroscience\, rehabilitation engineering\, and wearable biomedical sens
 ing.\n\nParticipants will learn how EEG and complementary sensors such as 
 IMUs\, goniometers\, eye trackers\, cameras\, and pressure sensors can be 
 used to study brain activity\, movement\, attention\, perception\, and hum
 an behavior during controlled experiments. The session combines conceptual
  introduction\, live hardware demonstration\, guided experimental design\,
  basic signal interpretation\, and student project brainstorming.\n\nThe w
 orkshop emphasizes safe and ethical human-subject data collection\, sensor
  setup principles\, event synchronization\, multimodal data quality\, and 
 research-question formulation. By the end of the session\, students will h
 ave a clearer understanding of how to design feasible EEG-based and multim
 odal sensing experiments for their own STEM research projects.\n\nBy the e
 nd of the workshop\, participants will be able to:\n\n- Understand the bas
 ic principles of EEG\, brain signals\, and non-invasive brain–computer i
 nterfaces.\n- Recognize how multimodal sensors such as IMU\, goniometers\,
  eye trackers\, cameras\, and pressure sensors complement EEG measurements
 .\n- Identify common experimental design considerations for EEG and human-
 subject sensing studies.\n- Understand basic concepts of sensor placement\
 , signal quality\, artifacts\, synchronization\, and data annotation.\n- D
 evelop an initial research idea suitable for a student-led STEM or biomedi
 cal engineering project.\n\nCo-sponsored by: Center for Brain Computing Re
 search (CBCR@NTU) and Hwa Chong Institution (JC)\n\nSpeaker(s): Aung Aung\
 n\nAgenda: \n09:00 – 09:45 | Introduction to EEG\, BCI\, and Multimodal 
 Biosensing\nOverview of brain signals\, EEG rhythms\, brain–computer int
 erfaces\, neurotechnology\, wearable sensors\, and real-world biomedical e
 ngineering applications.\n\n09:45 – 10:30 | Hands-on Demonstration: 32-c
 hannel EEG Setup\nEEG cap preparation\, electrode positioning\, signal qua
 lity checking\, impedance considerations\, artifact sources\, and safety/c
 omfort considerations.\n\n10:30 – 10:45 | Break\n\n10:45 – 11:30 | Mul
 timodal Sensor Demonstration\nIntroduction to IMU\, goniometers\, eye trac
 king\, camera recording\, and pressure sensors. Discussion on how each sen
 sor captures different dimensions of human behavior\, movement\, gaze\, po
 sture\, and task performance.\n\n11:30 – 12:40 | Designing a Student Res
 earch Experiment\nHow to formulate a research question\, define independen
 t/dependent variables\, choose tasks\, plan trials\, synchronize sensor da
 ta\, and avoid common mistakes in EEG and multimodal experiments.\n\n12:40
  – 13:00 | Discussion\, Q&amp;A\, Closing and Group Photo\nSummary\, acknowl
 edgements\, and future research engagement opportunities.\n\nHwa Chong Ins
 titution\, 661 Bukit Timah Road\, Singapore\, Singapore\, Singapore\, 2697
 34
LOCATION:Hwa Chong Institution\, 661 Bukit Timah Road\, Singapore\, Singapo
 re\, Singapore\, 269734
ORGANIZER:apwaung@ntu.edu.sg
SEQUENCE:50
SUMMARY:Hands-on EEG and Multimodal Biosensing Workshop for Student Researc
 h in Brain–Computer Interfaces
URL;VALUE=URI:https://events.vtools.ieee.org/m/564073
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;isSelectedEnd&quot;&gt;This half-day STEM o
 utreach workshop introduces pre-university students from HCI (JC) under th
 e CENTAD programme to hands-on experimental research using 32-channel EEG 
 and multimodal sensing technologies. The workshop is designed to prepare s
 tudents for upcoming research projects involving brain&amp;ndash\;computer int
 erfaces\, human&amp;ndash\;machine interaction\, cognitive neuroscience\, reha
 bilitation engineering\, and wearable biomedical sensing.&lt;/p&gt;\n&lt;p class=&quot;i
 sSelectedEnd&quot;&gt;Participants will learn how EEG and complementary sensors su
 ch as IMUs\, goniometers\, eye trackers\, cameras\, and pressure sensors c
 an be used to study brain activity\, movement\, attention\, perception\, a
 nd human behavior during controlled experiments. The session combines conc
 eptual introduction\, live hardware demonstration\, guided experimental de
 sign\, basic signal interpretation\, and student project brainstorming.&lt;/p
 &gt;\n&lt;p&gt;The workshop emphasizes safe and ethical human-subject data collecti
 on\, sensor setup principles\, event synchronization\, multimodal data qua
 lity\, and research-question formulation. By the end of the session\, stud
 ents will have a clearer understanding of how to design feasible EEG-based
  and multimodal sensing experiments for their own STEM research projects.&lt;
 /p&gt;\n&lt;p class=&quot;isSelectedEnd&quot;&gt;By the end of the workshop\, participants wi
 ll be able to:&lt;/p&gt;\n&lt;ol start=&quot;1&quot; data-spread=&quot;false&quot;&gt;\n&lt;li&gt;Understand the
  basic principles of EEG\, brain signals\, and non-invasive brain&amp;ndash\;c
 omputer interfaces.&lt;/li&gt;\n&lt;li&gt;Recognize how multimodal sensors such as IMU
 \, goniometers\, eye trackers\, cameras\, and pressure sensors complement 
 EEG measurements.&lt;/li&gt;\n&lt;li&gt;Identify common experimental design considerat
 ions for EEG and human-subject sensing studies.&lt;/li&gt;\n&lt;li&gt;Understand basic
  concepts of sensor placement\, signal quality\, artifacts\, synchronizati
 on\, and data annotation.&lt;/li&gt;\n&lt;li&gt;Develop an initial research idea suita
 ble for a student-led STEM or biomedical engineering project.&lt;/li&gt;\n&lt;/ol&gt;&lt;
 br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p class=&quot;isSelectedEnd&quot;&gt;&lt;strong&gt;09:00 &amp;ndash\; 0
 9:45 | Introduction to EEG\, BCI\, and Multimodal Biosensing&lt;/strong&gt;&lt;br&gt;O
 verview of brain signals\, EEG rhythms\, brain&amp;ndash\;computer interfaces\
 , neurotechnology\, wearable sensors\, and real-world biomedical engineeri
 ng applications.&lt;/p&gt;\n&lt;p class=&quot;isSelectedEnd&quot;&gt;&lt;strong&gt;09:45 &amp;ndash\; 10:3
 0 | Hands-on Demonstration: 32-channel EEG Setup&lt;/strong&gt;&lt;br&gt;EEG cap prepa
 ration\, electrode positioning\, signal quality checking\, impedance consi
 derations\, artifact sources\, and safety/comfort considerations.&lt;/p&gt;\n&lt;p 
 class=&quot;isSelectedEnd&quot;&gt;&lt;strong&gt;10:30 &amp;ndash\; 10:45 | Break&lt;/strong&gt;&lt;/p&gt;\n&lt;
 p class=&quot;isSelectedEnd&quot;&gt;&lt;strong&gt;10:45 &amp;ndash\; 11:30 | Multimodal Sensor D
 emonstration&lt;/strong&gt;&lt;br&gt;Introduction to IMU\, goniometers\, eye tracking\
 , camera recording\, and pressure sensors. Discussion on how each sensor c
 aptures different dimensions of human behavior\, movement\, gaze\, posture
 \, and task performance.&lt;/p&gt;\n&lt;p class=&quot;isSelectedEnd&quot;&gt;&lt;strong&gt;11:30 &amp;ndas
 h\; 12:40 | Designing a Student Research Experiment&lt;/strong&gt;&lt;br&gt;How to for
 mulate a research question\, define independent/dependent variables\, choo
 se tasks\, plan trials\, synchronize sensor data\, and avoid common mistak
 es in EEG and multimodal experiments.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;12:40 &amp;ndash\; 13:00
  | Discussion\, Q&amp;amp\;A\, Closing and Group Photo&lt;/strong&gt;&lt;br&gt;Summary\, a
 cknowledgements\, and future research engagement opportunities.&lt;/p&gt;
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