2d:null 2e:["$","title",null,{"children":"OpenHPS Fingerprinting Dataset Overview | OpenHPS | Observable"}] 33:T71c,async function createFloorplan() { const margin = { top: 20, right: 20, bottom: 50, left: 50 }; const svgWidth = chartWidth + margin.left + margin.right; const svgHeight = chartHeight + margin.bottom + margin.top; const yAxis = d3 .scaleLinear() .domain([0, buildingHeight]) .range([svgHeight - margin.bottom, margin.top]); const xAxis = d3 .scaleLinear() .domain([0, buildingWidth]) .range([margin.left, svgWidth - margin.right]); const svg = d3 .create("svg") .attr("width", svgWidth) .attr("height", svgHeight); svg .append("text") .attr("transform", "rotate(-90)") .attr("y", 0) .attr("x", 0 - chartHeight / 2) .attr("dy", "1em") .style("text-anchor", "middle") .text("Y Position (meters)"); svg .append("text") .attr("y", chartHeight + margin.bottom) .attr("x", chartWidth / 2) .attr("dy", "1em") .style("text-anchor", "middle") .text("X Position (meters)"); const background_url = await FileAttachment("floorplan_medium@1.png").url(); svg .append('image') .attr("xlink:href", background_url) .attr("x", margin.left) .attr("y", margin.top) .attr("width", chartWidth) .attr("height", chartHeight); svg .append("g") .call(d3.axisLeft(yAxis)) .attr("transform", `translate(${margin.left}, 0)`) .call(g => g.select(".domain").remove()); svg .append("g") .call(d3.axisBottom(xAxis)) .attr("transform", `translate(0, ${svgHeight - margin.bottom})`) .call(g => g.select(".domain").remove()); svg .append("rect") .attr("x", 0) .attr("y", 0) .attr("height", chartHeight - margin.top - margin.bottom) .attr("width", chartWidth - margin.left - margin.right) .attr("fill", "url(#pattern)"); return { svg, xAxis, yAxis }; }34:T4a4,wlan_visualization = { const { svg, xAxis, yAxis } = await createFloorplan(); const data = d3 .nest() .key(d => orientation.value === -1 ? [d.X, d.Y] : [d.X, d.Y, d.ORIENTATION] ) .rollup(d => { const map = { X: d[0].X, Y: d[0].Y, ORIENTATION: d[0].ORIENTATION }; wlan_aps.forEach( ap => (map[ap.ID] = d3.mean(d, e => (e[ap.ID] == 100 ? -95 : e[ap.ID]))) ); return map; }) .entries(wlan_fingerprints_train) .map(d => d.value) .filter(d => orientation.value === -1 ? true : d.ORIENTATION === orientation.value * 90 ); const color = value => d3 .scaleSequential() .domain([-96, -24]) .interpolator(d3.interpolateTurbo)(value); function update(ap) { wlanInfo.update(wlan_aps.filter(d => d.ID === ap)[0]); svg .selectAll("circle") .remove() .exit() .data(data) .join("circle") .attr("cx", d => xAxis(d.X)) .attr("cy", d => yAxis(d.Y)) .attr("r", (1.7 * scale) / 2) .attr("fill", d => color(d[ap] === 100 ? -95 : d[ap])); } update("WAP_001"); return { node: svg.node(), update }; }35:T482,ble_visualization = { const { svg, xAxis, yAxis } = await createFloorplan(); const data = d3 .nest() .key(d => orientation.value === -1 ? [d.X, d.Y] : [d.X, d.Y, d.ORIENTATION] ) .rollup(d => { const map = { X: d[0].X, Y: d[0].Y, ORIENTATION: d[0].ORIENTATION }; ble_beacons.forEach( ap => (map[ap.ID] = d3.mean(d.filter(x => x[ap.ID] !== 100), e => e[ap.ID])) ); return map; }) .entries(ble_fingerprints_train) .map(d => d.value) .filter(d => orientation.value === -1 ? true : d.ORIENTATION === orientation.value * 90 ); const color = value => d3 .scaleSequential() .domain([-100, -55]) .interpolator(d3.interpolateTurbo)(value); function update(ap) { svg .selectAll("circle") .remove() .exit() .data(data) .join("circle") .attr("cx", d => xAxis(d.X)) .attr("cy", d => yAxis(d.Y)) .attr("r", (1.7 * scale) / 2) .attr("fill", d => color(d[ap] === undefined ? -99 : d[ap])); } update("BEACON_01"); return { node: svg.node(), update }; 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31:{"id":"7f84072cd84a4435","slug":"openhps-fingerprinting-dataset-overview","title":"OpenHPS Fingerprinting Dataset Overview","thumbnail":"92afe724181504512d2c7afc4dc6ab0eaab30f1b43622359e5194329217cee7d","access_level":"public","create_time":"$D2021-07-27T23:15:31.985Z","update_time":"$D2021-07-27T23:22:33.656Z","view_time":null,"first_public_time":"$D2021-07-27T23:24:00.155Z","has_unpublished_edits":null,"fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"a25f06c59ebf123d","login":"openhps","name":"OpenHPS","avatar_url":"https://avatars-next.observableusercontent.com/1bd6e42aba2de78973d8b849f41ffc53f7804de15b439d90e5d3fa27f458ba50","tier":"starter_2024"},"version":2016,"publish_version":2016,"role":null,"authored":false,"authors":[{"type":"individual","id":"c8bb01f0a4d4ed4c","login":"openhps","name":"OpenHPS","avatar_url":"https://avatars-next.observableusercontent.com/1bd6e42aba2de78973d8b849f41ffc53f7804de15b439d90e5d3fa27f458ba50","tier":null}],"members":[{"type":"individual","id":"c8bb01f0a4d4ed4c","login":"openhps","name":"OpenHPS","avatar_url":"https://avatars-next.observableusercontent.com/1bd6e42aba2de78973d8b849f41ffc53f7804de15b439d90e5d3fa27f458ba50","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"OpenHPS Fingerprinting Dataset Overview","cells":[{"id":0,"value":"md`\n# OpenHPS Fingerprinting Dataset Overview\nThe OpenHPS fingerprinting dataset of March 2021 contains **110 training** and **30 test** locations in **4 different orientations**. We collected information on Wi-Fi access point signal strengths, **11 BLE beacons** and IMU data at a requested refresh rate of 50Hz. More information about the contents of the dataset can be found [here](https://zenodo.org/record/4744380#.YQCUQ44zaUk).\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1135,"value":"swatches({\n color: d3.scaleOrdinal(\n [\"BLE Beacons\", \"Train Data\", \"Test Data\"],\n [\"blue\", \"red\", \"#66ff33\"]\n )\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1107,"value":"datapoints_visualization.node","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1761,"value":"md`Out dataset is recorded on Sunday the 7th of March 2021 in the building: \"Pleinlaan 9\" on the third floor.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1671,"value":"md`\n### Wireless Access Points\nOur dataset captures signal strength from **${\n wlan_aps.length\n}** wireless access points. Based on the SSID before anonymisation, we identified **${\n wlan_aps.filter(d => d.STABLE === 1).length\n}** access points to be stable (university network, department network, ...). Other (unstable) access points were identified as hotspots, printers and unknown company networks inside the same building.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1676,"value":"Table(wlan_aps)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1693,"value":"md`\n### Bluetooth Low Energy Beacons\nIn total **${ble_beacons.length}** beacons were placed throughout the floor at a height of 1.6 meters.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1696,"value":"Table(ble_beacons)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":257,"value":"md`\n## Training Data\nYou can specify the visualisation of the fingerprints using the fingerprint orientation selection box. Fingerprints are recorded in four directions (top, right, bottom and left). By default, the visualisations use the aggregated results.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1431,"value":"viewof orientation = {\n const orientations = [\n { name: \"Top\", value: 0 },\n { name: \"Right\", value: 1 },\n { name: \"Bottom\", value: 2 },\n { name: \"Left\", value: 3 },\n { name: \"Aggregated\", value: -1 }\n ];\n const element = Select(orientations, {\n label: \"Fingerprint orientation (visualisations)\",\n value: orientations.find(d => d.value === -1),\n format: d => d.name\n });\n return element;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":15,"value":"md`\n### WLAN Training Data\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":141,"value":"viewof wlan_ap = {\n const selector = html`\n Wi-Fi Access Point: \n `;\n selector.onchange = option => {\n wlan_visualization.update(option.target.value);\n };\n return selector;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1061,"value":"wlanInfo.element","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":230,"value":"legend({\n color: d3.scaleSequentialSqrt([-96, -24], d3.interpolateTurbo),\n title: \"RSSI\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":171,"value":"wlan_visualization.node","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":218,"value":"md`\n### BLE Beacon Training Data\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":339,"value":"viewof ble_beacon = {\n const selector = html`\n BLE Beacon: \n `;\n selector.onchange = option => {\n ble_visualization.update(option.target.value);\n };\n return selector;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":325,"value":"legend({\n color: d3.scaleSequentialSqrt([-96, -55], d3.interpolateTurbo),\n title: \"RSSI\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":320,"value":"ble_visualization.node","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"md`\n---\n## Appendix\n### Notebook Dependencies\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"d3 = require('d3@latest', 'd3-scale-chromatic@latest', 'd3-collection@latest')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":232,"value":"import { legend, swatches } from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2009,"value":"import {\n Checkbox,\n Range,\n Text,\n Select,\n Toggle,\n Table\n} from \"@observablehq/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":165,"value":"md`\n### Notebook Visualizations\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":403,"value":"screenWidth = container.clientWidth","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":400,"value":"container = html`

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":260,"value":"buildingWidth = 46.275","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":262,"value":"buildingHeight = 37.270","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":393,"value":"aspectRatio = buildingWidth / buildingHeight","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":268,"value":"chartWidth = Math.round(Math.min(screenWidth - 50, 13 * buildingWidth))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":271,"value":"chartHeight = chartWidth / aspectRatio","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":397,"value":"scale = chartWidth / buildingWidth","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1088,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1104,"value":"datapoints_visualization = {\n const { svg, xAxis, yAxis } = await createFloorplan();\n\n // Beacons\n svg\n .selectAll(\"dot\")\n .data(ble_beacons)\n .enter()\n .append(\"circle\")\n .attr(\"cx\", d => xAxis(d.X))\n .attr(\"cy\", d => yAxis(d.Y))\n .attr(\"r\", (0.6 * scale) / 2)\n .attr(\"fill\", \"blue\");\n\n // Test data points\n svg\n .selectAll(\"dot\")\n .data(testdatapoints)\n .enter()\n .append(\"circle\")\n .attr(\"cx\", d => xAxis(d.X))\n .attr(\"cy\", d => yAxis(d.Y))\n .attr(\"r\", (0.6 * scale) / 2)\n .attr(\"fill\", \"#66ff33\");\n\n // Data points\n svg\n .selectAll(\"dot\")\n .data(datapoints)\n .enter()\n .append(\"circle\")\n .attr(\"cx\", d => xAxis(d.X))\n .attr(\"cy\", d => yAxis(d.Y))\n .attr(\"r\", (0.7 * scale) / 2)\n .attr(\"fill\", \"red\");\n\n return { node: svg.node() };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":873,"value":"trajectory_visualization = {\n const { svg, xAxis, yAxis } = await createFloorplan();\n\n let data = [];\n function addPoint(expected, calculated) {\n data.push({ calculated });\n svg\n .selectAll(\"circle\")\n .data(data)\n .join(\"circle\")\n .attr(\"cx\", d => xAxis(d.calculated.x))\n .attr(\"cy\", d => yAxis(d.calculated.y))\n .attr(\"r\", (0.7 * scale) / 2)\n .attr(\"fill\", \"red\");\n }\n\n function reset() {\n data = [];\n }\n return { node: svg.node(), addPoint, reset };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":599,"value":"test_visualization = {\n const { svg, xAxis, yAxis } = await createFloorplan();\n\n function setPoint(expected, calculated) {\n testInfo.update(expected, calculated);\n svg\n .selectAll(\"circle\")\n .remove()\n .exit()\n .data([{ expected }])\n .join(\"circle\")\n .attr(\"cx\", d => xAxis(d.expected.x))\n .attr(\"cy\", d => yAxis(d.expected.y))\n .attr(\"r\", (1 * scale) / 2)\n .attr(\"fill\", \"#66ff33\")\n .exit()\n .data([{ calculated }])\n .enter()\n .append(\"circle\")\n .attr(\"cx\", d => xAxis(d.calculated.x))\n .attr(\"cy\", d => yAxis(d.calculated.y))\n .attr(\"r\", (1 * scale) / 2)\n .attr(\"fill\", \"red\");\n }\n\n return { node: svg.node(), setPoint };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":317,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1054,"value":"wlanInfo = {\n const element = html`\n \n \n \n \n \n \n \n \n \n

SSID:		SSID Group:
Frequency:		Stable?:

\n `;\n const update = function(device) {\n document.getElementById(\"wlan_ssid\").innerHTML = device.ID;\n document.getElementById(\"wlan_ssid_group\").innerHTML = device.SSID_ID;\n document.getElementById(\"wlan_frequency\").innerHTML =\n device.FREQUENCY + \" Hz\";\n document.getElementById(\"wlan_stable\").innerHTML = device.STABLE\n ? \"Yes\"\n : \"No\";\n };\n return { element, update };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1156,"value":"testInfo = {\n const element = html`\n \n \n \n \n \n \n \n \n

Expected:		Calculated:
Error (m):

\n `;\n const round = function(val) {\n return Math.round(val * 100) / 100;\n };\n const update = function(expected, calculated) {\n document.getElementById(\"test_expected\").innerHTML =\n \"P(\" + round(expected.x) + \", \" + round(expected.y) + \")\";\n document.getElementById(\"test_calculated\").innerHTML =\n \"P(\" + round(calculated.x) + \", \" + round(calculated.y) + \")\";\n document.getElementById(\"test_error\").innerHTML = round(\n expected.distanceTo(calculated)\n );\n };\n return { element, update };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":175,"value":"md`\n### Dataset Loading\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"wlan_fingerprints_train = FileAttachment(\"wlan_fingerprints_train@1.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":311,"value":"ble_fingerprints_train = FileAttachment(\"ble_fingerprints_train@1.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":617,"value":"wlan_fingerprints_test = FileAttachment(\"wlan_fingerprints_test.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":620,"value":"ble_fingerprints_test = FileAttachment(\"ble_fingerprints_test.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":144,"value":"wlan_aps = FileAttachment(\"wlan_aps.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":314,"value":"ble_beacons = FileAttachment(\"ble_beacons@1.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1085,"value":"datapoints = FileAttachment(\"datapoints.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":592,"value":"testdatapoints = FileAttachment(\"testdatapoints.csv\").csv({\n typed: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W36","stdlib":"1","titling":"auto"}} 32:"$31:body"