Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications.

ABSTRACT: Soft electromechanical sensors have led to a new paradigm of electronic devices for novel motion-based wearable applications in our daily lives. However, the vast amount of random and unidentified signals generated by complex body motions has hindered the precise recognition and practical application of this technology. Recent advancements in artificial-intelligence technology have enabled significant strides in extracting features from massive and intricate data sets, thereby presenting a breakthrough in utilizing wearable sensors for practical applications. Beyond traditional machine-learning techniques for classifying simple gestures, advanced machine-learning algorithms have been developed to handle more complex and nuanced motion-based tasks with restricted training data sets. Machine

SUBMITTER: Pyun KR 

PROVIDER: S-EPMC10776364 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature