Kinectは、カラーカメラ、深度センサー、マイクアレイを備えているセンサー機器です。最も特徴的な機能として、深度センサーから人を認識して「ボーン」とよばれる骨格データを自動生成する機能があります。
入手しやすいこともあり、Natural User Interfaceデバイスとしての標準的なデバイスとなっています。Kinectで得たノウハウは他のNUIデバイスを使うときにも役立つノウハウです。また、今夏発売される新型Kinectでも継承できるものになります。
The document compares the key features and specifications of the Kinect for Windows 1 and Kinect for Windows 2 sensors. The Kinect for Windows 2 sensor has improved color camera and depth camera resolutions, larger field of view, supports USB 3.0, and can track more skeleton joints compared to the original Kinect sensor. Several open source projects and code samples for Kinect for Windows 2 are also listed.
This document provides a national clinical guideline for the management of patients with stroke. It covers rehabilitation, prevention and management of complications, and discharge planning. The guideline aims to assist clinicians, healthcare teams, and departments to optimize stroke care. It focuses on general management, rehabilitation, and prevention strategies in the first year after stroke. The guideline complements other SIGN guidelines on specific topics related to stroke care.
Kinectは、カラーカメラ、深度センサー、マイクアレイを備えているセンサー機器です。最も特徴的な機能として、深度センサーから人を認識して「ボーン」とよばれる骨格データを自動生成する機能があります。
入手しやすいこともあり、Natural User Interfaceデバイスとしての標準的なデバイスとなっています。Kinectで得たノウハウは他のNUIデバイスを使うときにも役立つノウハウです。また、今夏発売される新型Kinectでも継承できるものになります。
The document compares the key features and specifications of the Kinect for Windows 1 and Kinect for Windows 2 sensors. The Kinect for Windows 2 sensor has improved color camera and depth camera resolutions, larger field of view, supports USB 3.0, and can track more skeleton joints compared to the original Kinect sensor. Several open source projects and code samples for Kinect for Windows 2 are also listed.
This document provides a national clinical guideline for the management of patients with stroke. It covers rehabilitation, prevention and management of complications, and discharge planning. The guideline aims to assist clinicians, healthcare teams, and departments to optimize stroke care. It focuses on general management, rehabilitation, and prevention strategies in the first year after stroke. The guideline complements other SIGN guidelines on specific topics related to stroke care.
The presentation provides an overview of the Kinect system, including its history, technology, and capabilities. It describes how Kinect uses structured light and machine learning to map depth and infer body position without any handheld controllers. Kinect launched in 2010 and quickly became the fastest selling consumer electronics device by selling 8 million units in its first 60 days. The technology represents significant advances in computer vision that enable natural user interfaces for gaming and beyond.
Develop Store Apps with Kinect for Windows v2Clemente Giorio
Agenda:
Intro
The Sensor
Data Source
Kinect Evolution
Data Source
Windows Store App
Body Frame
Coordinate Mapper
Kinect Studio
Gesture Recognition
Gesture Builder
Sessione tenuta a Codemotion Roma 2014 l'11 Aprile 2014.
La seconda versione del Kinect, nonostante sia ancora nella fase di beta, porta con se grandi novità sia dal punto di vista hardware che delle funzionalità. Una sessione per capire come è cambiato e cosa mette a disposizione per la realizzazione di interfacce NUI di nuova generazione.
Kinect is a motion sensing input device by Microsoft that was first discussed in 2007 and launched for the Xbox 360 in 2010. Using motion capture technology and infrared depth sensing cameras, Kinect allows for gesture control and motion gaming without any physical controllers. It has since been adapted for use in a variety of applications including physical therapy, vascular surgery, and vehicles.
All you need to know about Kinect2 development.
With these slides you can understand the system requirements needed to start developing with Kinect2 sensor, the available sources accessible with the sensor and the gestures you can perform in order to interact with touchless interfaces.
Overview of The Virtual Dressing Room Market - Augmented World ExpoMatthew Szymczyk
This is Zugara's presentation on the Virtual Dressing Room Market at the Augmented World Expo. Presentation covers brief overview on Zugara, 3 Signs that Virtual Dressing Rooms have arrived, and 3 Challenges ahead for Virtual Dressing Rooms.
This document provides an overview of the Kinect sensor and Kinect for Windows SDK. It introduces the Kinect sensor specs and components. It describes the various data sources that can be accessed from the Kinect like the color video stream, depth map, skeleton data, and audio. It also discusses programming with the Kinect SDK, including accessing frame data, coordinate mapping, and using the Kinect APIs for applications. Examples are provided for gesture recognition, recording and playback functionality, and building basic controls into an app using the Kinect.
Tsukasa Sugiura presented an introduction to Kinect v2. Key points included:
- Kinect v2 features improved color camera, depth sensor, infrared camera, and body tracking capabilities compared to v1.
- It supports tracking of 6 people with 25 joints per person and new hand gestures like lasso.
- The SDK provides access to color, depth, infrared, body index, and body frames from the sensor.
- Demonstrated the basic workflow of initializing the sensor, getting frame sources and readers, and processing frame data for different streams.
This document provides an overview of Kinect motion technology. It describes how Kinect uses an infrared sensor and camera to track a user's full-body motion and interpret gestures and voice commands to control applications without any additional input devices. Applications discussed include gaming, healthcare, virtual pianos, and using Kinect to control robots and provide gesture-based interactions in augmented reality. Advantages are noted as not requiring additional input devices and allowing for voice and facial recognition, while disadvantages include sensitivity to infrared light sources and not detecting certain materials well.
The presentation provides an overview of the Kinect system, including its history, technology, and capabilities. It describes how Kinect uses structured light and machine learning to map depth and infer body position without any handheld controllers. Kinect launched in 2010 and quickly became the fastest selling consumer electronics device by selling 8 million units in its first 60 days. The technology represents significant advances in computer vision that enable natural user interfaces for gaming and beyond.
Develop Store Apps with Kinect for Windows v2Clemente Giorio
Agenda:
Intro
The Sensor
Data Source
Kinect Evolution
Data Source
Windows Store App
Body Frame
Coordinate Mapper
Kinect Studio
Gesture Recognition
Gesture Builder
Sessione tenuta a Codemotion Roma 2014 l'11 Aprile 2014.
La seconda versione del Kinect, nonostante sia ancora nella fase di beta, porta con se grandi novità sia dal punto di vista hardware che delle funzionalità. Una sessione per capire come è cambiato e cosa mette a disposizione per la realizzazione di interfacce NUI di nuova generazione.
Kinect is a motion sensing input device by Microsoft that was first discussed in 2007 and launched for the Xbox 360 in 2010. Using motion capture technology and infrared depth sensing cameras, Kinect allows for gesture control and motion gaming without any physical controllers. It has since been adapted for use in a variety of applications including physical therapy, vascular surgery, and vehicles.
All you need to know about Kinect2 development.
With these slides you can understand the system requirements needed to start developing with Kinect2 sensor, the available sources accessible with the sensor and the gestures you can perform in order to interact with touchless interfaces.
Overview of The Virtual Dressing Room Market - Augmented World ExpoMatthew Szymczyk
This is Zugara's presentation on the Virtual Dressing Room Market at the Augmented World Expo. Presentation covers brief overview on Zugara, 3 Signs that Virtual Dressing Rooms have arrived, and 3 Challenges ahead for Virtual Dressing Rooms.
This document provides an overview of the Kinect sensor and Kinect for Windows SDK. It introduces the Kinect sensor specs and components. It describes the various data sources that can be accessed from the Kinect like the color video stream, depth map, skeleton data, and audio. It also discusses programming with the Kinect SDK, including accessing frame data, coordinate mapping, and using the Kinect APIs for applications. Examples are provided for gesture recognition, recording and playback functionality, and building basic controls into an app using the Kinect.
Tsukasa Sugiura presented an introduction to Kinect v2. Key points included:
- Kinect v2 features improved color camera, depth sensor, infrared camera, and body tracking capabilities compared to v1.
- It supports tracking of 6 people with 25 joints per person and new hand gestures like lasso.
- The SDK provides access to color, depth, infrared, body index, and body frames from the sensor.
- Demonstrated the basic workflow of initializing the sensor, getting frame sources and readers, and processing frame data for different streams.
This document provides an overview of Kinect motion technology. It describes how Kinect uses an infrared sensor and camera to track a user's full-body motion and interpret gestures and voice commands to control applications without any additional input devices. Applications discussed include gaming, healthcare, virtual pianos, and using Kinect to control robots and provide gesture-based interactions in augmented reality. Advantages are noted as not requiring additional input devices and allowing for voice and facial recognition, while disadvantages include sensitivity to infrared light sources and not detecting certain materials well.