Abstract: The method of entering data into a computer device. A wearable device is attached to a first body part. The device has a lower unit and an upper unit connected to the lower unit. The device has sensors in operative engagement therewith for registering movements. The wearable device has a first accelerometer and a second accelerometer. The lower unit is provided with non-movable parts. A segment of a second body part is moved relative to the device without having physical contact with the sensors. The movement of the segment activates the sensors. The sensors sending sensor signals to a microprocessor unit. The first accelerometer senses an acceleration movement in a first direction. The second accelerometer senses an acceleration movement in a second direction. The first and second accelerometers send acceleration movement signals to a microprocessor unit that stores acceleration movement signals from the accelerometers together with the sensor signals to learn movements of the body part.

Abstract: The method is for entering data into a computer device and comprises providing a wearable device (10) that is attached to a hand. The device (10) has sensors (49, 51, 53, 55, 57) that analyze the movements of the segments (48, 50, 52, 54, 56) to generate likely characters intended by the user. The device (10) learns from the earlier typing patterns of the user to eliminate possible characters.

Abstract: The method is for entering data into a computer device. A wearable device (10) is attaching to a hand (212). The device (10) has a lower unit (14) placed in a palm (106) of the hand and an upper unit (16) placed behind knuckles (17) of the hand and connected to the lower unit (14). A sensor (202) has transducers (260, 262, 264, 266, 268) in operative engagement with fingers (250, 252, 254, 256, 258). The sensor (202) has a position sensor (210) associated with an electronic cursor or sign (211) displayed on a screen (213). The fingers and/or hand are moved to switch the sensor (202) from a keyboard mode to a mouse mode. The hand (212) is shifted in a first direction to move the cursor (211) in the first direction on the screen (213).

Abstract: The method is for entering data into a computer device. A wearable device (10) is attaching to a hand (212). The device (10) has a lower unit (14) placed in a palm (106) of the hand and an upper unit (16) placed behind knuckles (17) of the hand and connected to the lower unit (14). A sensor (202) has transducers (260, 262, 264, 266, 268) in operative engagement with fingers (250, 252, 254, 256, 258). The sensor (202) has a position sensor (210) associated with an electronic cursor or sign (211) displayed on a screen (213). The fingers and/or hand are moved to switch the sensor (202) from a keyboard mode to a mouse mode. The hand (212) is shifted in a first direction to move the cursor (211) in the first direction on the screen (213).

Abstract: The method of entering data into a computer device. A wearable device is attached to a first body part. The device has a lower unit and an upper unit connected to the lower unit. The device has sensors in operative engagement therewith for registering movements. The wearable device has a first accelerometer and a second accelerometer. The lower unit is provided with non-movable parts. A segment of a second body part is moved relative to the device without having physical contact with the sensors. The movement of the segment activates the sensors. The sensors sending sensor signals to a microprocessor unit. The first accelerometer senses an acceleration movement in a first direction. The second accelerometer senses an acceleration movement in a second direction. The first and second accelerometers send acceleration movement signals to a microprocessor unit that stores acceleration movement signals from the accelerometers together with the sensor signals to learn movements of the body part.

Abstract: The method is for entering data into a computer device and comprises providing a wearable device (10) that is attached to a hand. The device (10) has sensors (49, 51, 53, 55, 57) that analyze the movements of the segments (48, 50, 52, 54, 56) to generate likely characters intended by the user. The device (10) learns from the earlier typing patterns of the user to eliminate possible characters.

Abstract: The method is for entering data into a computer device (11) and comprises providing a wearable device (10) that is attached to a hand (200). The device (10) has extensions (14, 16, 18, 20, 22) disposed below metacarpophalangeal joints (212) and first bone segments (202) of the fingers (208). The extensions (14, 16, 18, 20, 22) have sensors (50, 52, 54, 56, 58) in operative engagement with sensor channels (15, 17, 19, 21, 23) mounted thereon. The first bone segments (202) may be moved relative to second bone segments (214) at the metacarpophalangeal joints (212) to bend at least one of the sensor channels (15, 17, 19, 21, 23). One of the sensors (50, 52, 54, 56, 58) sensing the bending of one the sensor channels (15, 17, 19, 21, 23) and sending an activation signal (57) to a computer device (11) in operative engagement with the device (10).

Abstract: The method is for entering data into a computer device (11) and comprises providing a wearable device (10) that is attached to a hand (200). The device (10) has extensions (14, 16, 18, 20, 22) disposed below metacarpophalangeal joints (212) and first bone segments (202) of the fingers (208). The extensions (14, 16, 18, 20, 22) have sensors (50, 52, 54, 56, 58) in operative engagement with sensor channels (15, 17, 19, 21, 23) mounted thereon. The first bone segments (202) may be moved relative to second bone segments (214) at the metacarpophalaneal joints (212) to bend at least one of the sensor channels (15, 17, 19, 21, 23). One of the sensors (50, 52, 54, 56, 58) sensing the bending of one the sensor channels (15, 17, 19, 21, 23) and sending an activation signal (57) to a computer device (11) in operative engagement with the device (10).