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\"category\": \"AR / VR\",\n \"tags\": [\"Intel\", \"Perceptual Computing SDK\", \"3D gestures\", \"Publishing\", \"Unity3D\"],\n \"author\": \"Aniket Handa\",\n \"hero\": \"./news-unsplash.jpg\"\n};\n\nvar makeShortcode = function makeShortcode(name) {\n return function MDXDefaultShortcode(props) {\n console.warn(\"Component \" + name + \" was not imported, exported, or provided by MDXProvider as global scope\");\n return mdx(\"div\", props);\n };\n};\n\nvar layoutProps = {\n _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n var components = _ref.components,\n props = _objectWithoutProperties(_ref, [\"components\"]);\n\n return mdx(MDXLayout, _extends({}, layoutProps, props, {\n components: components,\n mdxType: \"MDXLayout\"\n }), mdx(\"h2\", {\n \"id\": \"introduction\"\n }, \"Introduction\"), mdx(\"p\", null, \"The capstone project during MHCI+D focused on promoting novel applications of 3D image capture and touch gesture technology in the news publishing industry. My team partnered with Intel, who challenged us to envision a system that creates value for their upcoming RealSense depth-sensing camera in the News publishing industry. \"), mdx(\"p\", null, \"Before hopping onto secondary research we evaluated existing spatial sensing platforms, and meanwhile also researched current publishing industry.\"), mdx(\"div\", {\n \"className\": \"Image__Small\"\n }, \"\\n \", mdx(\"span\", _extends({\n parentName: \"div\"\n }, {\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"1280px\"\n }\n }), \"\\n \", mdx(\"span\", _extends({\n parentName: \"span\"\n }, {\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"56.25%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/jpeg;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n })), \"\\n \", mdx(\"picture\", {\n parentName: \"span\"\n }, \"\\n \", mdx(\"source\", _extends({\n parentName: \"picture\"\n }, {\n \"srcSet\": [\"/static/3993024854c49ca2eb837ac767ab2b27/4b075/3.webp 1280w\"],\n \"sizes\": \"(max-width: 1280px) 100vw, 1280px\",\n \"type\": \"image/webp\"\n })), \"\\n \", mdx(\"source\", _extends({\n parentName: \"picture\"\n }, {\n \"srcSet\": [\"/static/3993024854c49ca2eb837ac767ab2b27/496ec/3.jpg 1280w\"],\n \"sizes\": \"(max-width: 1280px) 100vw, 1280px\",\n \"type\": \"image/jpeg\"\n })), \"\\n \", mdx(\"img\", _extends({\n parentName: \"picture\"\n }, {\n \"className\": \"gatsby-resp-image-image\",\n \"src\": \"/static/3993024854c49ca2eb837ac767ab2b27/496ec/3.jpg\",\n \"alt\": \"3\",\n \"title\": \"3\",\n \"loading\": \"lazy\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n }\n })), \"\\n \"), \"\\n \")), mdx(\"p\", null, \"Then, our secondary research highlighted that the way people consume news is changing, due to its online access. 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\"EMG sensor\", \"Gesture detection\", \"Machine Learning\"],\n \"author\": \"Aniket Handa\",\n \"hero\": \"./neck.jpg\",\n \"links\": [{\n \"label\": \"Website\",\n \"link\": \"http://horseshoe477.github.io/\"\n }]\n};\n\nvar makeShortcode = function makeShortcode(name) {\n return function MDXDefaultShortcode(props) {\n console.warn(\"Component \" + name + \" was not imported, exported, or provided by MDXProvider as global scope\");\n return mdx(\"div\", props);\n };\n};\n\nvar layoutProps = {\n _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n var components = _ref.components,\n props = _objectWithoutProperties(_ref, [\"components\"]);\n\n return mdx(MDXLayout, _extends({}, layoutProps, props, {\n components: components,\n mdxType: \"MDXLayout\"\n }), mdx(\"div\", {\n style: {\n \"height\": \"480px\"\n }\n }, mdx(\"iframe\", {\n src: \"//player.vimeo.com/video/98090453?title=0&byline=0&portrait=0\",\n width: \"100%\",\n height: \"100%\",\n frameBorder: \"0\",\n webkitallowfullscreen: true,\n mozallowfullscreen: true,\n allowFullScreen: true\n })), mdx(\"h2\", {\n \"id\": \"introduction\"\n }, \"Introduction\"), mdx(\"p\", null, \"Neck is one of such part of our body that densely packs tons of information. It is the neural pass of the body; it can move, give vocal data and provide heart rate information. We envision a device that can tap on this information and result in a novel input technique while also keeping a track on health data. The interaction can be fast enough enabling hands-free interaction while both hands are not accessible. In addition, it is possible to use this wearable device for health sensing, for example, monitoring the tiredness, heart rate or even muscle stress. It can take many forms, such by being part of the clothing collar or in a form of a pendant. 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Currently it detects basic gestures including up tilt, left tilt, and shaking. The device connects via Bluetooth and send sEMG data to the connected client device. The client then processes this data to recognize gestures.\"), mdx(\"h2\", {\n \"id\": \"envision-necx\"\n }, \"Envision NecX\"), mdx(\"p\", null, \"We envision NecX to be a wearable device that can take many forms, such by being part of the clothing collar or in a form of a pendant or a pillow. The interactions using neck might not be as socially awkward as by other wearables in the market. We also plan to focus on providing accessibility to special people who cannot move lower part of their body.\"), mdx(\"p\", null, \"For people aging with disabilities or with spinal cord injuries, their mobility is limited and their involvement to the environment is constrained. These limitations result from the environmental barriers that hinder their full participation in society and even their daily life. However, we think that such disability should not be tied to a person. NecX is made to help to overcome these barriers.\"), mdx(\"p\", null, \"Apart for using it as an aid to mobility of the elderly or with people suffering from spinal cord injuries, we also see this technology being used in Gaming, Eyes-free computing, and as a mobile phone peripheral for short interactions. It can used for more immersive gaming experience, monitoring neck muscle tension levels, perform hands-free interactions with mobile devices. We expect this wearable device can be used as a health monitoring tool and a hands-free input device. 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When muscle is stressed, a current issued from the brain flows through the muscle. By attaching electro pads to the target muscle (in our case, on both side of neck), the current will flow through the pads and will be picked by our sensor board. Our algorithm captures these signal variations when the muscle is in action and uses it for gesture detection and classification. Different from the previous study, we used only 2 channels of sEMG data to enable such functions. We believe reducing the number of channels can provide more flexibility in design a new form factor and also extend the power consumption.\"), mdx(\"h3\", {\n \"id\": \"hardware\"\n }, \"Hardware\"), mdx(\"p\", null, \"To measure the sEMG on the neck, we use the OLIMEXINO-328 and two SHIELD-EKG-EMG boards, each of which collects sEMG data from one side of the neck. 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The Olimex-328 is an Arduino-based motherboard and has a 10-bit ADC on board. We sample the analog data at 256 Hz, which is sufficient for our use case as we expect a neck gesture should be relatively slow. Finally, the data are streamed to a laptop for gesture recognition through Bluetooth. To better understand the capability of Olimex-328, we simulated the circuit in MultiSim and verify that the board has a low pass filter with the cut-off frequency of 3.4 kHz (see Fig). We also designed a 3D-printing case for this prototype.\"), mdx(\"div\", {\n \"className\": \"Image__Small\"\n }, \"\\n \", mdx(\"span\", _extends({\n parentName: \"div\"\n }, {\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"1280px\"\n }\n }), \"\\n \", mdx(\"span\", _extends({\n parentName: \"span\"\n }, {\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"46.79687500000001%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": 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We implemented a real-time version of our system and designed a few prototype applications. In order for NecX to run in real-time, we modify the classifier to enhance the robustness against any possible noise. In the video figure, we showed the on-the-fly neck gestures recognition and used NecX to play Tetris and to detect heart rate and muscle stress. \"));\n}\n;\nMDXContent.isMDXComponent = true;","tags":["Arduino","Signal Processing","EMG sensor","Gesture detection","Machine Learning"],"links":[{"label":"Website","link":"http://horseshoe477.github.io/"}],"category":"Physical Computing","present":false,"noImage":false,"hero":{"full":{"base64":"data:image/jpeg;base64,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","aspectRatio":1.5,"src":"/static/b51e9dc84800d572927801631b108e0e/6ce4c/neck.jpg","srcSet":"/static/b51e9dc84800d572927801631b108e0e/81a66/neck.jpg 236w,\n/static/b51e9dc84800d572927801631b108e0e/60b3d/neck.jpg 472w,\n/static/b51e9dc84800d572927801631b108e0e/6ce4c/neck.jpg 944w,\n/static/b51e9dc84800d572927801631b108e0e/150ec/neck.jpg 1200w","srcWebp":"/static/b51e9dc84800d572927801631b108e0e/99fbb/neck.webp","srcSetWebp":"/static/b51e9dc84800d572927801631b108e0e/77392/neck.webp 236w,\n/static/b51e9dc84800d572927801631b108e0e/1f177/neck.webp 472w,\n/static/b51e9dc84800d572927801631b108e0e/99fbb/neck.webp 944w,\n/static/b51e9dc84800d572927801631b108e0e/9000d/neck.webp 1200w","sizes":"(max-width: 944px) 100vw, 944px"},"regular":{"base64":"data:image/jpeg;base64,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","aspectRatio":1.5,"src":"/static/b51e9dc84800d572927801631b108e0e/150ec/neck.jpg","srcSet":"/static/b51e9dc84800d572927801631b108e0e/8cb53/neck.jpg 350w,\n/static/b51e9dc84800d572927801631b108e0e/867d5/neck.jpg 700w,\n/static/b51e9dc84800d572927801631b108e0e/150ec/neck.jpg 1200w","srcWebp":"/static/b51e9dc84800d572927801631b108e0e/9000d/neck.webp","srcSetWebp":"/static/b51e9dc84800d572927801631b108e0e/d0d48/neck.webp 350w,\n/static/b51e9dc84800d572927801631b108e0e/64998/neck.webp 700w,\n/static/b51e9dc84800d572927801631b108e0e/9000d/neck.webp 1200w","sizes":"(max-width: 1200px) 100vw, 1200px"},"narrow":{"base64":"data:image/jpeg;base64,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","aspectRatio":1.5,"src":"/static/b51e9dc84800d572927801631b108e0e/1293c/neck.jpg","srcSet":"/static/b51e9dc84800d572927801631b108e0e/81141/neck.jpg 240w,\n/static/b51e9dc84800d572927801631b108e0e/11d7f/neck.jpg 480w,\n/static/b51e9dc84800d572927801631b108e0e/1293c/neck.jpg 960w,\n/static/b51e9dc84800d572927801631b108e0e/150ec/neck.jpg 1200w","srcWebp":"/static/b51e9dc84800d572927801631b108e0e/fcc10/neck.webp","srcSetWebp":"/static/b51e9dc84800d572927801631b108e0e/2b5a3/neck.webp 240w,\n/static/b51e9dc84800d572927801631b108e0e/35871/neck.webp 480w,\n/static/b51e9dc84800d572927801631b108e0e/fcc10/neck.webp 960w,\n/static/b51e9dc84800d572927801631b108e0e/9000d/neck.webp 1200w","sizes":"(max-width: 960px) 100vw, 960px"},"seo":{"src":"/static/b51e9dc84800d572927801631b108e0e/150ec/neck.jpg"}}}],"category":"Physical Computing"}}}