A61F4/00

DECODING MOVEMENT INTENTION USING ULTRASOUND NEUROIMAGING

Methods and systems are provided for decoding movement intentions using functional ultrasound (fUS) imaging of the brain. In one example, decoding movement intentions include determining a memory phase of a cognitive state of the brain, the memory phase between a gaze fixation phase and movement execution phase, and determining one or more movement intentions including one or more of intended effector (e.g., hand, eye) and intended direction (e.g., right, left) according to a machine learning algorithm trained to classify one or more movement intentions simultaneously.

Device for controlled assistance of the grip

A device for the controlled assistance of the grip, including a first element, which can be worn on one hand, and which includes a pair of ferromagnetic plates. The device also includes a second element which includes a ferromagnetic core whose opposite poles are each connected to one of the two ferromagnetic plates. The device further includes a power supply unit connected to an excitation coil wound around the ferromagnetic core. A control unit controls the voltage supplied by the power supply unit to the ends of the coil, so as to adjust the magnetic field generated to the ferromagnetic plates.

Device for controlled assistance of the grip

A device for the controlled assistance of the grip, including a first element, which can be worn on one hand, and which includes a pair of ferromagnetic plates. The device also includes a second element which includes a ferromagnetic core whose opposite poles are each connected to one of the two ferromagnetic plates. The device further includes a power supply unit connected to an excitation coil wound around the ferromagnetic core. A control unit controls the voltage supplied by the power supply unit to the ends of the coil, so as to adjust the magnetic field generated to the ferromagnetic plates.

DATA MANIPULATION USING REMOTE AUGMENTED SENSING

Data manipulation using remote augmented sensing is disclosed. Wireless connectivity is provided between a processor and a wireless transceiver. The wireless transceiver is embedded in an oral sensing interface. A tongue position sensor (TPS) is coupled to the wireless transceiver. The tongue position sensor is attached to the interface. An inertial measurement unit (IMU) is coupled to the wireless transceiver. The IMU is attached to a location along the interface. An interface-embedded preprocessor is further coupled between the wireless transceiver and the output from the TPS and the IMU. Data manipulation is enabled in the processor, based on the wireless connectivity and outputs from the TPS and the IMU. Other sensors are coupled, including a barometric sensor, an ambient condition sensor, a microphone, and a sound generating device. At least one additional inertial measurement unit is coupled to the wireless transceiver.

SYSTEMS AND METHODS FOR GENERIC CONTROL USING A NEURAL SIGNAL
20210342004 · 2021-11-04 · ·

Universal switch modules, universal switches, and methods of using the same are disclosed, including methods of preparing an individual to interface with an electronic device or software. For example, a method is disclosed that can include measuring brain-related signals of the individual to obtain a first sensed brain-related signal when the individual generates a task-irrelevant thought. The method can include transmitting the first sensed brain-related signal to a processing unit. The method can include associating the task-irrelevant thought and the first sensed brain-related signal with N input commands. The method can include compiling the task-irrelevant thought, the first sensed brain-related signal, and the N input commands to an electronic database.

Adaptive driving device

Various implementations include an assistive driving device including a base, a first post, a second post, a third post, and a selector. The first post is for receiving a portion of a palm of a hand of a user and has a proximal end and a distal end. The second post has a proximal end and a distal end. The third post has a proximal end and a distal end. The proximal ends of the first, second, and third posts are coupled to the base. The second post and the third post are positioned to receive a portion of an arm of the user. The selector is spaced apart from the first post and positioned such that the selector is actuatable with a dorsum of the hand of the user.

Adaptive driving device

Various implementations include an assistive driving device including a base, a first post, a second post, a third post, and a selector. The first post is for receiving a portion of a palm of a hand of a user and has a proximal end and a distal end. The second post has a proximal end and a distal end. The third post has a proximal end and a distal end. The proximal ends of the first, second, and third posts are coupled to the base. The second post and the third post are positioned to receive a portion of an arm of the user. The selector is spaced apart from the first post and positioned such that the selector is actuatable with a dorsum of the hand of the user.

METHOD OF DETECTING AND TRACKING BLINK AND BLINK PATTERNS USING BIOPOTENTIAL SENSORS
20230309860 · 2023-10-05 ·

A method for detecting and tracking blink and blink patterns of a user from a headworn device, the method including placing an electronic device with a housing on a head of the user, placing one or more biopotential sensors of the housing in contact with skin of the user, detecting, using the biopotential sensors, signals indicative of blink or blink patterns of the user, processing the signals by a processing unit configured to identify blink of the user, and inputting the blink signals into a model capable of decoding gaze and eyelid motion in real-time to understand the attention, intention, and states of the user.

METHOD OF DETECTING AND TRACKING BLINK AND BLINK PATTERNS USING BIOPOTENTIAL SENSORS
20230309860 · 2023-10-05 ·

A method for detecting and tracking blink and blink patterns of a user from a headworn device, the method including placing an electronic device with a housing on a head of the user, placing one or more biopotential sensors of the housing in contact with skin of the user, detecting, using the biopotential sensors, signals indicative of blink or blink patterns of the user, processing the signals by a processing unit configured to identify blink of the user, and inputting the blink signals into a model capable of decoding gaze and eyelid motion in real-time to understand the attention, intention, and states of the user.

HAND WASHING ASSISTIVE DEVICE
20230310190 · 2023-10-05 ·

A hand washing assistive device includes a prosthetic hand, a supportive arm, a support mechanism, and a mechanism for removably coupling the support member to an underlying surface. The supportive arm is coupled to the prosthetic hand. The support member is coupled to the supportive arm and has a connector that permits the supportive arm to be movable. The prosthetic hand is configured to provide a complementary hand to a user's hand for washing purposes.