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	<title>force myography &#8211; BIOENGINEER.ORG</title>
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		<title>Simple Armband Reads Hand Gestures With Surgical Precision</title>
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		<pubDate>Wed, 14 Oct 2026 08:18:58 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Biomedical Engineering]]></category>
		<category><![CDATA[force myography]]></category>
		<category><![CDATA[hand gesture recognition]]></category>
		<category><![CDATA[human-machine interface]]></category>
		<category><![CDATA[linear discriminant analysis]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Rehabilitation]]></category>
		<category><![CDATA[sensor optimization]]></category>
		<category><![CDATA[Signal Processing]]></category>
		<category><![CDATA[surface electromyography]]></category>
		<category><![CDATA[virtual reality]]></category>
		<category><![CDATA[wearable sensors]]></category>
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					<description><![CDATA[Researchers in New Delhi have built a wireless force myography armband that classifies twenty hand gestures with over 96 percent accuracy using a lightweight classical machine learning pipeline and an optimized six-sensor configuration.]]></description>
		
		
		
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