US2024164465A1PendingUtilityA1
Smart helmet with electronic processing/ recording/ storing individual and cumulative impacts
Individually held — no corporate assignee on recordPriority: Nov 22, 2022Filed: Nov 22, 2022Published: May 23, 2024
Est. expiryNov 22, 2042(~16.3 yrs left)· nominal 20-yr term from priority
Inventors:Peter L. Levy
A42B 3/064A42B 3/046
53
PatentIndex Score
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Claims
Abstract
A concussion resistant smart helmet is disclosed for electronic processing of individual and cumulative impacts, helmet having capability to decompose all external impacts into tangential component force impacts to the helmet edges and away from user. The helmet integrated sensors distinguish tangential from normal force vector impacts. The electronic components contains sensor and logic for recording impact forces transmitted to helmet to determine individual and cumulative damaging impacts. sustained during each period of use in realtime.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A concussion resistant smart helmet comprising:
a helmet with a hard outer shell having perforated regions, on an outer helmet layer rigidly coupled to helmet edges; a base outer shell of the outer helmet layer fitting below the outer hard shell in the outer helmet layer, and base outer shell of the outer helmet layer coupled to the helmet edges; a layer of independent slidable tiles fitted in the outer helmet layer between the outer hard shell and base outer shell, the slidable tiles protruding the outer hard shell perforated regions having a polygonal shape commensurate with margins to the independently slidable tiles; the independently slidable tiles with material spacers for transferring any tangential component forces from impacted tile to tile to helmet edge tangential force component transfer and a liner coupled to the outer helmet layer bounding the absorbing layer, the liner having electronics, logic and sensors registering the normal and tangential components forces at the tiles, whereby external force impacts to the helmet are decoupled to normal and tangential component impact forces for recording and processing at tile impacts.
2 . The concussion resistant smart helmet of claim 1 further comprising an energy absorbing layer with removable electronics and sensors whereby damaged absorbing material sensors can be removed and replaced with undamaged absorbing layer sensors, electronics and logic.
3 . The concussion resistant smart helmet of claim 1 further comprising a smart absorbing layer with the liner having at least one 3D force or 3D accelerometer sensor coupled to power, memory and wife logic for recording helmet normal and tangential individual and cumulative impact forces.
4 . The concussion resistant smart helmet of claim 1 wherein the electronics, logic and sensors store and transmit sensed component forces of impacts via wireless devices for a tangential and normal component impact force time histories.
5 . The concussion resistant smart helmet of claim 1 wherein electronic devices including sensors, stored memory and wifi logic are powered by rechargeable power.
6 . The concussion resistant smart helmet of claim 1 further comprising an absorbing layer made from a set of energy absorbing materials selected from the group consisting of honey comb, Styrofoam, Expanded Polystyrene, graphene-titanium, graphene layers, and composites.
7 . A method for a concussion resistant smart helmet comprising the steps of:
providing a helmet with an outer hard shell with perforated regions or openings on an outer helmet layer, the outer helmet layer rigidly coupled to helmet edges; providing a base outer shell of the outer helmet layer fitting below the outer hard shell of the outer helmet layer, the base outer shell of the outer helmet layer coupled to the helmet edges; providing a base outer shell of the outer helmet layer fitting below the outer hard shell of the outer helmet layer, the base outer shell of the outer helmet layer coupled to the helmet edges; inserting removable-replaceable energy absorbing layer between an base outer shell shell liner and a helmet interior boundary, spacing the-slidable tiles with material spacers for transferring any tangential component forces from impacted tile to tile to helmet edge tangential force component transfer, and coupling a liner to the base outer shell layer bounding an energy absorbing layer, the liner having electronics, logic and sensors for registering the normal and tangential components forces at impacted slidable tile positions, whereby external impacts to the helmet are decoupled to normal and tangential components for recording and processing at the slidable impacted tile locations.
8 . The method for a concussion resistant smart helmet as in claim 7 further comprising the steps of providing an energy absorbing layer with removable electronics and sensors whereby damaged absorbing material sensors can be removed and replaced with undamaged absorbing layer sensors, electronics and logic.
9 . The method for a concussion resistant smart helmet as in claim 7 further comprising the steps of providing a smart absorbing layer with the liner having at least one 3D force or 3D accelerometer sensor coupled to power, memory and wifi logic for recording helmet normal and tangential individual and cumulative impact forces at the slidable tile locations.
10 . The method for a concussion resistant smart helmet as in claim 7 wherein the electronics, logic and sensors store and transmit sensed component of impacts via wireless devices for a tangential and normal component impacts time histories.
11 . The method for a concussion resistant smart helmet as in claim 7 wherein electronic devices including sensors, stored memory and wifi logic are powered by rechargeable power.
12 . The method for a concussion resistant smart helmet as in claim 7 further comprising an absorbing layer made from a set of energy absorbing materials selected from the group consisting of honey comb, Styrofoam, Expanded Polystyrene, graphene-titanium, graphene layers, and composites.Join the waitlist — get patent alerts
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