WO2023158619 - FALL PREVENTION SYSTEM
National phase entry is expected:
Publication Number
WO/2023/158619
Publication Date
24.08.2023
International Application No.
PCT/US2023/012944
International Filing Date
13.02.2023
Title **
[English]
FALL PREVENTION SYSTEM
[French]
SYSTÈME DE PRÉVENTION DE CHUTE
Applicants **
HUSICK, Lawrence
Inventors
HUSICK, Lawrence
Priority Data
63/310,278
15.02.2022
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| Number of Office Actions | * |
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International Searching Authority |
USPTO
* |
| * | |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Natural Person
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| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 1958 | |
| EPO | Filing, Examination, Granting | 8796 | |
| Japan | Filing, Examination, Granting | 2009 | |
| South Korea | Filing, Examination, Granting | 1692 | |
| USA | Filing, Examination, Granting | 4310 |
Total:
18,765
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
The system of the present invention uses sensors that detect the position and posture of human subjects without requiring either worn devices or physical contact. Using integrated multimodal sensing (RADAR, LiDAR, LowRezVideo, IRVideo, Audio, Temperature, Air Quality, force sensing, etc.) and deep machine learning AI to learn human behavior in context, the invention applies a postural center of gravity dynamic model to predict the probability of falls and to warn and intervene, using visual and auditory warnings, notices to facility staff, vibrotactile stimulation, and controls of environment factors in real time, before a fall occurs.[French]
Le système de la présente invention utilise des capteurs qui détectent la position et la posture de sujets humains sans nécessiter ni dispositifs portés ni contact physique. À l'aide d'une détection multimodale intégrée (RADAR, LiDAR, LowRezVidéo, Irvidéo, Audio, Température, qualité d'air, détection de force, etc.) et d'apprentissage automatique profond IA pour apprendre un comportement humain dans le contexte, l'invention applique un modèle dynamique de centre de gravité postural pour prédire la probabilité de chutes et pour avertir et intervenir, à l'aide d'avertissements visuels et auditifs, de notifications à un personnel de centre, d'une stimulation vibrotactile et de commandes de facteurs d'environnement en temps réel, avant qu'une chute ne se produise.