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5.   Why is gesture recognition important?
                         (i)   It helps us eat better

                        (ii)   It allows new ways to interact with technology

                        (iii)   It improves gaming skills

                        (iv)   It makes phones lighter

                 B.  State whether the following statements are true (T) or false (F).
                    1.  AI systems can think and learn like humans.

                    2.  You need extensive programming knowledge to use Google Teachable Machine.

                    3.  Hand gestures cannot convey meaning.
                    4.  Voice commands can make technology easier to use.

                    5.  The Microbit cannot recognize sound patterns.

                 C.  Fill in the blanks.

                              speech   intelligence   Google Teachable Machine   intentions   computer

                    1.  AI refers to the simulation of human                 in machines.
                    2.  A                    is a web-based tool for creating machine learning models.
                    3.  Hand gestures like waving hello help computers understand human                 .

                    4.  The Microbit is a tiny                 that can be programmed.
                    5.  Voice recognition allows computers to understand human                  .



                                                                                              21 st
                       Try It Yourself Activity                                            Century   #Critical Thinking
                                                                                                 #Technology Literacy
                                                                                             Skills
                   Using the Google Teachable Machine, create your own gesture recognition model. Choose three
                   different hand gestures (like thumbs up, wave, and peace sign). Record each gesture, train the
                   model, and test it to see if it recognizes your gestures correctly. Write down your observations.

                       In a brightly lit lab, Jamie stood before their newly built robot, eager to see it in action. They waved
                      their hand, and the robot whirred to life, responding perfectly. But when Jamie pointed to a nearby
                      object, the robot remained still. Confused, Jamie wondered if the camera was misaligned or if the
                      pointing  gesture  hadn’t  been  programmed  correctly.  With  a  determined  sigh, Jamie  set  to  work
                      troubleshooting the issue, eager to unlock the robot’s full potential.
                       In a cozy living room, Sam sighed in frustration as their voice control system repeatedly misunderstood
                      commands. Noticing their struggle, Jamie leaned in with a reassuring smile and suggested, “Let’s try
                      using a clearer microphone and keep the commands simple. We can also train it with your voice, so it
                      learns better.” With newfound hope, Sam nodded, eager to make the system work seamlessly.









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