A systemic review of facial expression recognition (FER) in stroke: diagnosis and emerging applications in rehabilitation - Takeaways - MDSpire

A systemic review of facial expression recognition (FER) in stroke: diagnosis and emerging applications in rehabilitation

  • By

  • Ruolin Li

  • Yujia Jin

  • Jialu Li

  • Yongxia Mei

  • Weihong Zhang

  • Peilin Liu

  • Zhenxiang Zhang

  • Beilei Lin

  • May 21, 2026

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  • 1

    Stroke is a leading cause of disability and mortality, making early diagnosis and rehabilitation monitoring crucial for patient outcomes.

  • 2

    Facial expression recognition (FER) technology shows promise in diagnosing stroke with accuracies between 82% and 98% through facial asymmetry analysis.

  • 3

    FER can also enhance rehabilitation by providing real-time feedback and adjusting training intensity based on patients' facial expressions.

  • 4

    Challenges remain in translating FER technology to clinical practice, including the need for larger datasets and integration with multimodal data.

  • 5

    Future research should focus on overcoming implementation barriers to improve stroke care delivery and reduce patient mortality and disability.

Original Source(s)

A systemic review of facial expression recognition (FER) in stroke: diagnosis and emerging applications in rehabilitation

  • by Ruolin Li, Yujia Jin, Jialu Li, Yongxia Mei, Weihong Zhang, Peilin Liu, Zhenxiang Zhang, Beilei Lin

  • May 21, 2026

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