Smart footwear for kids, has pressure-sensitive insoles for detecting walking patterns and postural deviations, and artificial intelligence-based tracking of long-term gait changes for physiotherapy applications
	TRIPATHI A; JAIN U
	2025-03-26
专利权人	UNIV MANIPAL JAIPUR (UYMA-Non-standard)
申请日期	2025-03-26
专利号	IN202511028292-A
成果简介	NOVELTY - The footwear has a blood pressure (BP) sensor for utilizing photoplethysmography (PPG) and pulse transit time (PTT) to estimate BP and detect abnormal fluctuations for triggering alerts for caregivers. Combination of accelerometers and artificial intelligence (AI) algorithms analyzes movement patterns for assessing sleep quality and realizes detection of restlessness, waking frequency, and sleep duration, where integration of temperature and humidity sensors to ensure comfort monitoring. An activity sensor estimates calorie expenditure and movement levels. A skin conductance sensor monitors dehydration, correlated with appetite. An AI-based dietary pattern analysis is linked to a mobile application for tracking and recommendations. The sensor detects walking patterns and postural deviations and assistance in postural correction for children with orthopedic conditions and an AI-based tracking of long-term gait changes for physiotherapy applications. USE - Smart footwear for kids. ADVANTAGE - The footwear ensures secure wearability and reduces risk of removal or discomfort and realizes real-time health monitoring, thus ensuring that caregivers and healthcare professionals receive timely notifications about abnormalities in child's health status. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic view of a smart footwear.
IPC 分类号	A61B-005/00 ; A61B-005/0205 ; A61B-005/024 ; A61B-005/11 ; G08B-021/04
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13494
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV MANIPAL JAIPUR (UYMA-Non-standard)
推荐引用方式 GB/T 7714	TRIPATHI A,JAIN U. Smart footwear for kids, has pressure-sensitive insoles for detecting walking patterns and postural deviations, and artificial intelligence-based tracking of long-term gait changes for physiotherapy applications. IN202511028292-A[P]. 2025.

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