Gesture Recognition PowerPoint Presentation
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The document discusses gesture recognition technology, which enables devices to interpret human movements and gestures through cameras, sensors, and algorithms. It highlights various applications in accessibility, healthcare, security, gaming, and education, while also addressing the advantages and disadvantages of the technology. The conclusion emphasizes the growing importance and potential of gesture recognition in everyday life and future advancements.
Gesture Recognition PowerPoint Presentation
- 1. Created by Hajra Sultan Gesture Recognition
- 2. Introduction Role in the society Applications Advantages / Disadvantages Conclusion Subtopics for presentation Agenda 19th May
- 3. Gesture recognition refers to the ability of a device to understand and interpret human gestures movements, and postures such as, • Hand movement • Facial expression • Body language INTRODUCTION
- 4. The technology uses a combination of the following to analyze movements made by an individual. • Cameras • Sensors • And algorithms Then the movements are translated into actions or commands to be performed by device or system.
- 5. HOW IT WORKS? There are three main steps: 1. Capturing the gesture Using an input device such as a camera and sensors. 2. Recognizing the gesture Analyzing the digital signal to identify the gesture being performed. 3. Interpreting the gesture Recognizing gesture and performing a function based __________ ________ __
- 6. • Improving accessibility Technology has the potential to enable individuals with disabilities to interact with technology more naturally. • Enhancing user experiences It allows users to interact quickly, perform multiple tasks simultaneously, and personalize gestures to suit their preferences. • Advancing healthcare Used in healthcare to monitor patient’s movements and help with rehabilitation. ROLE IN THE SOCIETY
- 7. • Improving safety and security Utilizes in security systems for the identification and tracking of individuals and their movements. • Enhancing productivity Used to control devices in the workplace, such as computers, displays, and projectors, increasing productivity and reducing the need for physical input devices.
- 8. • Camera Cameras are utilized to detect hand and body movements and they can be either RGB cameras, which capture colour images, or depth cameras which capture depth information and colour. • Microsoft Kinect The Kinect is a motion-sensing input device created by Microsoft for gaming consoles tha tracks body movements through a depth sensor and infrared projector, enabling users to control games through physical movements. • Leap Motion Leap Motion is a device that tracks hand and finger movements in 3D space using infrared cameras and LEDs. It allows users to interact with computers using natural hand and finger gestures without the need for a mouse or keyboard. • Eyesight Eyesight is a gesture recognition technology that uses a camera to track hand and finger movements, enabling users to interact with computers and other devices via natural han GESTURE RECOGNITION TECHNOLOGIES
- 9. SENSORS • Infrared sensors Use infrared light to detect the position and movement of objects, including hands and other body parts. • Ultrasonic sensors Emit high-frequency sound waves and detect the reflection of those waves off objects. • Capacitive sensors Capacitive sensors detect changes in electrical charge when an object, such as a hand or finger, meets
- 10. • Smartphones Many smartphones have gesture recognition features, such as swiping, pinching, and tapping, which allow users to interact with their devices in a natural and intuitive way. • Virtual assistance Virtual assistants, such as Siri, Google Assistant, and Alexa, use gesture recognition technology to understand voice commands and respond to them appropriately. • Gaming consoles Gaming consoles, like Xbox and PlayStation, utilize gesture recognition technology to track players' body movements and convert them into game controls. • Smart TV’s Modern smart TVs have gesture recognition features that allow users to control their TVs using hand gestures, such as swiping, DAILY LIFE EXAMPLES
- 11. Gesture recognition has revolutionized the way an individual can interact with digital devices and software. 1. Human-Computer Interaction (HCI) • Users can interact with digital devices and software using simple hand movements rather than traditional input devices. • An example is Kinect, a line of motion-sensing input devices, produced by Microsoft and first released in 2010. • It allows users to control and operate games or other software interfaces through the use of hand gestures, body movements APPLICATIONS OF GESTURE RECOGNITION
- 12. 2. Gaming • Wii remotes of Nintendo’s Wii are equipped with motion sensors which track the user’s hand movements and orientation. • The data is then sent to the Wii console, which is processed and translated into actions within the game, allowing the users to control on-screen characters, manipulate virtual objects, or interact with the game environment. • Sony’s PlayStation Move works in a similar manner by using a combination of a handheld controller and a camera.
- 13. 3. Automotive Industry • Gesture recognition has permitted drivers to control various functions of their cars through simple hand gestures. • The BMW 7 Series features a gesture recognition system called BMW Gesture Control. • It tracks and recognizes hand movements such as swiping, pointing, circling and pinching via an in-car infrared camera. • Allows drivers to accept or reject calls, control
- 14. 4. HealthCare • Gesture recognition has made it possible for patients with limited mobility to control medical devices such as prosthetic limbs or robotic surgery systems. • In particular, the researchers at the Georgia Institute of Technology, Atlanta, Georgia have manufactured an ultrasonic sensor that enables amputees to control each of their prosthetic fingers individually.
- 15. 5. Security • Gesture recognition technology allows facial recognition which is used to unlock devices. • The system identifies and authenticates a person's identity by analyzing their facial features and movements. • Apple’s Face ID utilizes the phone camera to scan the user’s face and matches it to a pre-registered image to unlock their iPhone.
- 16. 6. Education • Gesture recognition technology has been adopted in educational institutions to create interactive learning experiences. • Students can use hand gestures to manipulate virtual objects and learn about various concepts more effectively. • GestureTek's Cube technology allows students to control a virtual cube with hand gestures. • Using hand gestures to navigate through a virtual map. • Solving math problems in a game-like setting.
- 17. 7. Entertainment • Gesture recognition technology enables a person to interact with artificial three-dimensional visual or other sensory environments in Virtual Reality (VR). • Provides room for Augmented Reality (AR), an interactive experience combining the real world and computer-generated content. • For instance, Magic Leap’s AR headset makes use of gesture recognition to let users engage with virtual objects in a concrete environment using hand
- 18. 8. Communication • Sign language recognition applications translate sign language into text or speech. • This makes it possible for deaf or hard-of-hearing people to communicate with others who do not know sign language. • Ava, a real-time captioning app uses the microphone and camera of smartphones to pick up speech and capture sign language respectively, which are then translated into text. • This text can be read by the users to understand what is being said.
- 19. 1.Intuitive Interaction • Gesture recognition technology provides an intuitive and natural way for humans to interact with machines. • Users can perform actions simply by waving their hands, making it easier and more efficient to use technology. ADVANTAGES OF GESTURE RECOGNITION
- 20. 2. Contactless Control • Gesture recognition enables contactless control, which is particularly useful in situations where it is not safe or practical to touch a device. • For example, in a car, a driver can use hand gestures to control the music or navigate the system without taking their eyes off the road. • This reduces driver distraction and improves overall safety while driving. 3. Accessibility • Gesture recognition technology can make technology more accessible to people with disabilities or mobility issues, as it allows them to interact with devices without the need for physical contact. 4. Faster Input • With gesture recognition, users can input commands and control devices much faster than with traditional input methods such as typing or clicking. 5. Entertainment and Gaming • Gesture recognition is widely used in gaming and entertainment applications, where it provides a more immersive and interactive experience for users.
- 21. 1. Limited Range of Gestures Gesture recognition systems can only recognize a limited range of gestures, which may not be sufficient for all users or applications. 2. Environmental Factors Gesture recognition can be affected by environmental factors such as lighting conditions, background clutter, and noise, which can reduce the accuracy of the system. 3. User Learning Curve Users may need to learn and practice specific gestures to use the technology effectively, which can be a barrier to DISADVANTAGES OF GESTURE RECOGNITION L I M I T E D
- 22. 5. Limited Application Gesture recognition is limited to specific applications where hand gestures can be used, such as gaming and entertainment. It may not be suitable for all types of applications. 6. High Cost Gesture recognition technology can be expensive to implement, which may limit its adoption by some organizations or individuals.
- 23. To conclude, gesture recognition technology is a need of the future in every aspect of life. From our homes to healthcare and from improving security to enhancing productivity, gesture recognition technology is utilized everywhere. Gesture recognition devices along with improved AI features is something that is going to rule the world in the upcoming years. conclusion