A pegboard of the present disclosure includes: a main device including multiple unit modules; a board plate including multiple receiving portions; and multiple pegs to be inserted into the multiple receiving portions, and the multiple unit modules include multiple sensor modules configured to sense whether the multiple pegs are inserted into the multiple receiving portions and multiple light source modules configured to output light to the multiple receiving portions.

The present invention includes a novel and modern numbering system design modernizing the design of gaming pieces, such as dice and dominos, while maintaining the qualities of utility for which these pieces were built. The novel design adds not only a pleasing and improved visual quality, but also a tactile quality that enhances the handling of the gaming piece.

A playing card scanner apparatus for helping the visually impaired play card games includes a housing having a transparent housing top side dimensioned to be larger than a standard playing card. A scanner, a central processing unit (CPU), and a rechargeable battery are coupled within the housing. A charging port is coupled to the housing and is in operational communication with the rechargeable battery. A speaker port is coupled to the housing and is in operational communication with the CPU to receive an earpiece or headphone. A scan button is coupled to the housing to activate the scanner and produce a reading of the number and suit of the standard playing card through the speaker port.

Systems and methods are disclosed for playing a game by providing a board with tactile and/or sound annotations uniquely referencing play positions on the board; and providing tactile and/or audible pieces to be used with the tactile and sound-annotated board.

Described herein is a system for generating echolocation sounds to assist a user having no sight or limited sight to navigate a three-dimensional space (e.g., physical environment, computer gaming experience, and/or virtual reality experience). Input is received from a user to generate echolocation sounds to navigate a three-dimensional space. Based at least on the received input, a digital representation of the three-dimensional space is segmented into one or more depth planes using an unsupervised machine learning algorithm. For each depth plane, object segments are determined for each object within the particular depth plane. Locations of a plurality of echo sound nodes are determined in accordance with the depth level and surface area of each object defined by the determined segments. The echolocation sounds comprising a spatialized sound from each echo sound node originating from the determined location are generated.

Systems and methods are disclosed for playing a game by providing a board with tactile and/or sound annotations uniquely referencing play positions on the board; and providing tactile and/or audible pieces to be used with the tactile and sound-annotated board.

Certain exemplary embodiments can provide a device comprising a flexible core, the flexible core having a surface that acts to resist, but not to prevent, sliding of a plurality of objects thereon. Each of the plurality of objects is slidable along the core. The device comprises first end piece is coupled to a first end of the flexible core, wherein the plurality of objects cannot move past the first end piece.

A pegboard of the present disclosure includes: a main device including multiple unit modules; a board plate including multiple receiving portions; and multiple pegs to be inserted into the multiple receiving portions, and the multiple unit modules include multiple sensor modules configured to sense whether the multiple pegs are inserted into the multiple receiving portions and multiple light source modules configured to output light to the multiple receiving portions.

A pegboard training method, includes: receiving a game execution request from a user by a pegboard training device; providing the user with a game for which the execution request has been received by the pegboard training device; recognizing the user's insertion of a peg for the game by the pegboard training device; and guiding the user to an evaluation of a game result based on the insertion of the peg recognized by the pegboard training device after the game is over. The pegboard training device is configured to provide the user with training by using insertion pegs onto a board including a plurality of holes, and the game is executed by at least one of inserting a peg into at least one hole presented by the pegboard training device on the pegboard, inserting a peg by the user into a hole, which has not been presented by the pegboard training device, on the pegboard at the user's discretion, and removing a peg inserted in a hole by the user after the pegboard training device guides the user to remove the peg.

Described herein is a system for generating echolocation sounds to assist a user having no sight or limited sight to navigate a three-dimensional space (e.g., physical environment, computer gaming experience, and/or virtual reality experience). Input is received from a user to generate echolocation sounds to navigate a three-dimensional space. Based at least on the received input, a digital representation of the three-dimensional space is segmented into one or more depth planes using an unsupervised machine learning algorithm. For each depth plane, object segments are determined for each object within the particular depth plane. Locations of a plurality of echo sound nodes are determined in accordance with the depth level and surface area of each object defined by the determined segments. The echolocation sounds comprising a spatialized sound from each echo sound node originating from the determined location are generated.