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	<title>Body posture alignment feedback using xAI - Revision history</title>
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	<updated>2026-04-04T03:32:13Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>Islab: Created page with &quot;{{StudentProjectTemplate |Summary=Extracting the body alignment in different postures and giving feedback to reduce harm during physical exercise |Programme=Computer Science, ...&quot;</title>
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		<updated>2023-09-22T13:25:34Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{StudentProjectTemplate |Summary=Extracting the body alignment in different postures and giving feedback to reduce harm during physical exercise |Programme=Computer Science, ...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{StudentProjectTemplate&lt;br /&gt;
|Summary=Extracting the body alignment in different postures and giving feedback to reduce harm during physical exercise&lt;br /&gt;
|Programme=Computer Science, Intelligent Systems 30HP&lt;br /&gt;
|Keywords=Explainable AI, deep learning, body posture alighment&lt;br /&gt;
|TimeFrame=1 nov 2023 - 31 may 2024&lt;br /&gt;
|References=Vivek Anand Thoutam, Anugrah Srivastava, Tapas Badal, Vipul Kumar Mishra, G. R. Sinha, Aditi Sakalle, Harshit Bhardwaj, Manish Raj, &amp;quot;Yoga Pose Estimation and Feedback Generation Using Deep Learning&amp;quot;, Computational Intelligence and Neuroscience, vol. 2022, Article ID 4311350, 12 pages, 2022. https://doi.org/10.1155/2022/4311350&lt;br /&gt;
&lt;br /&gt;
Cooney, Martin &amp;amp; Pihl, J &amp;amp; Larsson, H &amp;amp; Orand, A &amp;amp; Aksoy, Eren. (2019). Exercising with an &amp;quot;Iron Man&amp;quot;: Design for a Robot Exercise Coach for Persons with Dementia. 10.13140/RG.2.2.14286.61765. &lt;br /&gt;
&lt;br /&gt;
Chaudhari, Ajay, et al. &amp;quot;Yog-guru: Real-time yoga pose correction system using deep learning methods.&amp;quot; 2021 International Conference on Communication information and Computing Technology (ICCICT). IEEE, 2021. https://doi.org/10.1109/ICCICT50803.2021.9509937&lt;br /&gt;
|Prerequisites=Deep learning courses and interest in explainable AI (xAI)&lt;br /&gt;
|Supervisor=Cristofer Englund, Fernando Alonso-Fernandez, &lt;br /&gt;
|Examiner=Sławomir Nowaczyk&lt;br /&gt;
|Level=Master&lt;br /&gt;
|Status=Open&lt;br /&gt;
}}&lt;br /&gt;
Physical exercise is an important part of a healthy lifestyle. To avoid injury, proper body alignment is important while exercising. When the injury has happened and a person is doing rehab, a physiotherapist is not always present, hence a camera-based tool that can guide a person to perform safe exercises can be a very efficient tool to recover from an injury.&lt;br /&gt;
&lt;br /&gt;
The project should investigate body posture and alignment tools that use camera and lidar (e.g. ToF - time-of-flight-camera). Based on the alignment, explore methods to give the user instant feedback on how to adjust the body to obtain proper alignment to minimize harm. &lt;br /&gt;
&lt;br /&gt;
The work could include&lt;br /&gt;
1. State-of-the-Art in body posture identification&lt;br /&gt;
2. State-of-the-Art in xAI for body parts adjustments&lt;br /&gt;
3. Implementation of a body part feature extractor&lt;br /&gt;
4. Comparing the extracted features with a perfect (ground truth) model&lt;br /&gt;
5. Generate the feedback&lt;/div&gt;</summary>
		<author><name>Islab</name></author>
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