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“Declining gait speed may signal early cognitive decline and structural brain ageing,” he said. “It can help detect ...
Key Takeaways Smartwatch sales declined 4.5% in 2024 while AI capabilities multiplied exponentially, creating value shifts that traditional metrics completely m ...
Data sources may include information from clinical assessments, motion capture technology, and wearable sensors, among others.
With another hot Texas summer underway, the threat of dehydration always looms. Though this condition can range from ...
In a world first, the University of Queensland (UQ), using technology from Irish SportsTech company DANU Sports, has launched a pioneering research ...
As the era of context-aware smart devices takes shape, there’s a real opportunity for companies to build the next generation ...
A new algorithm enables smartwatch fitness trackers to more accurately monitor energy expenditure of people with obesity ...
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AZoSensors on MSNNew Study Uses Gait Data and Machine Learning for Early Detection of Anxiety and DepressionThis study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...
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Study Finds on MSNPopular Fitness Trackers Often Fail People With Obesity. Northwestern Study Reveals The FixIn a nutshell Most commercial fitness trackers provide inaccurate calorie burn estimates for people with obesity, due to differences in body shape, movement, and gait that these devices weren’t ...
The success of wearable fitness technology lies not only in its functionality but also in its ability to integrate seamlessly ...
Under the business model Fujitsu Uvance, Fujitsu is building an ecosystem of Uvance Partners that will apply data and AI towards the resolution of social issues. Through co-creation with these ...
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