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Dr. Babak Taati on pioneering the use of computer vision to help seniors live safer, healthier lives.

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Manage episode 308095844 series 2623803
内容由University Health Network提供。所有播客内容(包括剧集、图形和播客描述)均由 University Health Network 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Pain is often under-diagnosed and under-treated among older adults, especially those with dementia, who have trouble communicating their discomfort. Additionally, approximately 60 per cent of older adults with dementia suffer a fall each year. Dr. Babak Taati is among a group of researchers in Canada aiming to tackle these problems using computer vision and artificial intelligence (AI).

In this episode of Behind the Breakthrough, we learn how Dr. Taati’s work involves using ambient monitoring systems to assess and analyze the movement and facial expressions of older adults to detect signs of pain and predict the likelihood of future falls, all while they go about their daily lives. He also discusses the ethical considerations of ambient monitoring techniques, from privacy concerns to working to eliminate ageism and ableism in the technology used.

  continue reading

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Artwork
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Manage episode 308095844 series 2623803
内容由University Health Network提供。所有播客内容(包括剧集、图形和播客描述)均由 University Health Network 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Pain is often under-diagnosed and under-treated among older adults, especially those with dementia, who have trouble communicating their discomfort. Additionally, approximately 60 per cent of older adults with dementia suffer a fall each year. Dr. Babak Taati is among a group of researchers in Canada aiming to tackle these problems using computer vision and artificial intelligence (AI).

In this episode of Behind the Breakthrough, we learn how Dr. Taati’s work involves using ambient monitoring systems to assess and analyze the movement and facial expressions of older adults to detect signs of pain and predict the likelihood of future falls, all while they go about their daily lives. He also discusses the ethical considerations of ambient monitoring techniques, from privacy concerns to working to eliminate ageism and ableism in the technology used.

  continue reading

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