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

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.

A motion sensing device with both inertial sensors and optical elements that integrates into a piece of sports equipment. Equipment with the device installed may look and feel like the original equipment. For example, for a baseball bat, a sensor package with a housing containing inertial sensors, cameras, and lights may be integrated into a knob that can be swapped with a standard bat knob; an additional sensor package may be integrated into a replacement bat cap. Sensor data and images from cameras in the device may be transmitted to a processor that calculates the equipment trajectory. External cameras may also capture images of lights in the device, which may flash or change in a pattern that is synchronized with the sensor data, and these images may also be used in trajectory calculations. Equipment with the motion sensing device may be used for virtual reality or for real sport activities.

An apparatus for use in assessing strength of at least one knee flexor muscle of a subject, the apparatus including a support, two securing members, each securing member securing a respective lower leg of the subject in a position that in use is substantially fixed relative to the support and at least one sensor, which in use senses a force indicative of the strength of the at least one knee flexor muscle in at least one leg of the subject while the subject performs an eccentric contraction of the at least one knee flexor muscle.

A wearable device for measuring sports performance comprises a wearable containment casing which houses therewithin a PCB provided with an electronic circuit having a microcontroller (MCU), movement detection means suitable to detect data relating to the instantaneous value of accelerations and rotation speed and to transfer them to said microcontroller for their processing thereby, wherein the microcontroller is suitable of simultaneously executing three secondary algorithms for calculating three different instantaneous speeds (V1(t), V2(t), V3(t)) to calculate the instantaneous speed (v(t)) as the weighted average of the values of said instantaneous speeds of said three secondary algorithms, using the formula

[00001]$v\left(t\right)=a*V1\left(t\right)+b*V2\left(t\right)+c*V3\left(t\right)$

wherein a, b and c are the three coefficients of the weighted average selected as a function of the detected step frequency.

A display method includes displaying first data group related to a plurality of indexes based on analysis data regarding a first motion in correlation with second data group related to the plurality of indexes based on analysis data regarding a second motion, for the indexes, the analysis data regarding the first motion and the second motion being detected by using outputs from an inertial sensor.

A display method includes displaying objects related to exercise equipment at respective positions of the exercise equipment at a plurality of timings during a swing so as to overlap a swing trajectory of the exercise equipment which is obtained on the basis of an output from an inertial sensor which measures the swing of the exercise equipment.

A method of and apparatus (10) for providing a personalized audio-visual instructional aid for assisting a person (11) to emulate preferred positions and/or movements in undertaking an activity by capturing position and/or movement data of the person (11) or an object associated with and controlled by the person undertaking the activity using position and/or movement sensing devices such as MEMS sensors (13) on the person (11) or object and using a computer (16) to analyze and compare the captured data with pre-stored data relating to preferred positions and/or movement in undertaking the activity and generating a visual presentation (19) based on the differences between the captured position and/or movement of the person or object and the preferred positions and/or movement and adding to the generated visual presentation, audio instructional comments relating to the differences.

Methods and apparatus are disclosed for correlating signals from a sports racket with signals from the shoes worn by a player wielding the racket to gain insight into the player's footwork at ball striking moments.

A method of measuring an activity of a person/object on a flexible mat of a trampoline, comprising: determining a mat deformation signal based at least on measurements from a sensor arrangement comprising at least one sensor and defining a coordinate space for the mat; the or each sensor being configured to measure a value corresponding to a deformation of the mat as the person/object moves on the mat; wherein, the value measured by die or each sensor corresponds to a proximity of the person/object to the sensor; determining a bounce coordinate in the coordinate spate based at least on the mat deformation signal; and determining a bounce location of the person/object on the mat based at least on the bounce coordinate in the coordinate space. Also provided is a trampoline configured to indicate an activity of a person/object on the mat and an interactive apparatus that includes the trampoline.