A removable wrist device in a continuous physiological monitoring system includes a mounting fixture with a pair of rails to securely retain another device, such as a battery, a watch, or a display. The rails may be curved to secure the device against displacement during purely translational movement while conveniently conforming to the shape of a wrist. At the same time, the rails can permit movement around the axis of the wrist (where significant rotational forces are not regularly encountered) to permit convenient attachment and removal of the other device to the wrist-mounted device through a rotational, sliding motion. This configuration provides an advantageous combination of ease of use (sliding on and off in a natural motion), mounting tenacity, and comfort.

A sensor event detection and tagging system that analyzes data from multiple sensors to detect an event and to automatically select or generate tags for the event. Sensors may include for example a motion capture sensor and one or more additional sensors that measure values such as temperature, humidity, wind or elevation. Tags and event detection may be performed by a microprocessor associated with or integrated with the sensors, or by a computer that receives data from the microprocessor. Tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags.

A solution is provided to enhance motion detection and recognition of moving objects associated with various sports by embedding motion sensors into sports instruments such as tennis rackets, badminton rackets, baseball bats and golf clubs, that are swung in a three-dimensional (3D) space. A motion sensor device inserted and locked inside a sports instrument is configured to detect motions associated with movements associated with the sports instrument. The device is shaped to be inserted into a sensor housing attached to a selected location inside the sports instrument. The device includes a motion sensor for detecting motion associated with the movement of the sports instrument, a cover for protecting the motion sensor, and a locking mechanism attached to the sensor housing for locking the motion sensor inside the sensor housing.

Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of 24 g to +24 g with a high-range accelerometer having a range of 400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.

A sleeve for improving a swinging motion of a user wearing the sleeve includes a tubular portion and a primary member. The tubular portion has a first opening and a second opening. The tubular portion configured to directly engage an arm portion of the user, wherein the arm portion extends from the first opening to the second opening. The primary member is substantially adjacent a first opening of the tubular portion, wherein the primary member is removably attached or permanently attached to the sleeve. The thickness of the primary member is greater than a thickness of the tubular portion for providing feedback to the user when the primary member is in contact with a torso of the user.

An Internet of Thing (IoT) sport device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

An Internet of Thing (IoT) sport device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor.

A sports simulator calculates spin of a sports object using image analysis. A velocity vector is also calculated. These are combined to produce a predicted future trajectory of the sports object. In one embodiment, the sports object is a golf ball and the sports simulator simulates golf.

A golf simulator comprises a photosensor unit, an image input unit, a movement information calculation unit, a spin information calculation unit and a flight trajectory calculation unit. The photosensor unit detects a moving path of a golf ball by using a plurality of photosensors, the image input unit inputs movement images of the golf ball, the movement information calculation unit calculates a moving direction and speed of the golf ball from information acquired from the photosensor unit, the spin information calculation unit calculates a spin amount of the golf ball from the inputted images, and the flight trajectory calculation unit calculates a flight trajectory of the golf ball by using movement information and spin information. The speed and direction of a golf ball, and a spin of the golf ball are accurately measured by using a separate image input device to calculate a spin amount of the golf ball.

Each club in the bag has a small sensor mount on its shaft with indicia indicating what club (9-iron, 7-iron, fairway 5-wood, etc.) the mount is attached to. A swing sensor can then engage the mount and read the indicia, sending both sensed swing information and club type to an app on the golfer's mobile phone. In this way, the app knows not only the swing information but also the type of club that was used to generate that swing information.