-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
executable file
·84 lines (75 loc) · 5.14 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
<!doctype html>
<!--[if lt IE 7]> <html class="no-js lt-ie9 lt-ie8 lt-ie7" lang=""> <![endif]-->
<!--[if IE 7]> <html class="no-js lt-ie9 lt-ie8" lang=""> <![endif]-->
<!--[if IE 8]> <html class="no-js lt-ie9" lang=""> <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js" lang=""> <!--<![endif]-->
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
<title>Oxford step-counter</title>
<meta name="description" content="">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="apple-touch-icon" href="apple-touch-icon.png">
<link rel="stylesheet" href="css/normalize.min.css">
<link rel="stylesheet" href="css/main.css">
<script src="js/vendor/modernizr-2.8.3-respond-1.4.2.min.js"></script>
</head>
<body>
<!--[if lt IE 8]>
<p class="browserupgrade">You are using an <strong>outdated</strong> browser. Please <a href="http://browsehappy.com/">upgrade your browser</a> to improve your experience.</p>
<![endif]-->
<div class="header-container">
<header class="wrapper clearfix">
<h1 class="title">Oxford Step Counter</h1>
<!--
<nav>
<ul>
<li><a href="#">nav ul li a</a></li>
<li><a href="#">nav ul li a</a></li>
<li><a href="#">nav ul li a</a></li>
</ul>
</nav>
-->
</header>
</div>
<div class="main-container">
<div class="main wrapper clearfix">
<article>
<header>
<h1>About the project</h1>
<p>The Oxford Step Counter is a project developed by Jamieson Brynes during his fourth-year research project at the University of Oxford</p>
<p>The algorithm that analyses the accelerometer signal in order to estimate the number of steps is inspired by [1] and better described in our new paper [2].</p>
</section>
<section>
<h2>The code</h2>
<p>These repositories provide access to the code and the data gathered during the project.</p>
<ul>
<li><a href="https://github.com/Oxford-step-counter/Java-Step-Counter">Java-Step-Counter</a> contains the algorithm implementation for Java and Android</li>
<li><a href="https://github.com/Oxford-step-counter/C-Step-Counter">C-Step-Counter</a> contains the algorithm ported to C for embedded devices</li>
<li><a href="https://github.com/Oxford-step-counter/Step-Counter-Android-Example-App">Step-Counter-Android-Example-App</a> is an Android app that shows how to use the step counter algorithm and logs raw data on CSV files</li>
<li><a href="https://github.com/Oxford-step-counter/DataSet">DataSet</a> contains the dataset used for optimising the algorithm and for validating it</li>
<li><a href="https://github.com/Oxford-step-counter/Step-Counting-Algorithms-Testing">Step-Counting-Algorithms-Testing</a> provides python code to optimise the parameters of the algorithm</li>
<li><a href="https://github.com/Oxford-step-counter/Data-Collection-Android-App">Data-Collection-Android-App</a> is an app used to collect raw accelerometry and ground truth</li>
<li><a href="https://github.com/Oxford-step-counter/GroundTruthDevice">GroundTruthDevice</a> contains the source code for a device to collect "ground truth" step counting using an RFduino</li>
<li><a href="https://github.com/Oxford-step-counter/report">report</a> is the project report</li>
</ul>
</section>
<footer>
<h3>References</h3>
<ol>
<li>Brajdic, Agata, and Robert Harle. "Walk detection and step counting on unconstrained smartphones." Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 2013.</li>
<li>Salvi, Dario, Carmelo Velardo, Jamieson Brynes, and Lionel Tarassenko. "An optimised algorithm for accurate steps counting from smart-phone accelerometry." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4423-4427. IEEE, 2018.</li>
<li>Anna Brondin, Marcus Nordström, Carl Magnus Olsson, and Dario Salvi. 2020. Open source step counter algorithm for wearable devices. In <i>10th International Conference on the Internet of Things Companion</i> (<i>IoT '20 Companion</i>). Association for Computing Machinery, New York, NY, USA, Article 6, 1–7. DOI:https://doi.org/10.1145/3423423.3423431</li>
</ol>
</footer>
</article>
</div> <!-- #main -->
</div> <!-- #main-container -->
<div class="footer-container">
<footer class="wrapper">
<h3>Biomedical Signal Processing & m-Health - Institute of Biomedical Engineering</h3>
</footer>
</div>
<script src="js/main.js"></script>
</body>
</html>