Posture training systems provide hands-free shoulder and back\spine alignment assistance for facilitating correct posture and alignment of the shoulders and spine of an athlete throughout swing or other physical rotational movements, and methods of their use. The posture training systems include vests that provide information during and throughout the rotational movement about spine-tilt angle relative to the ground, plane of the shoulders during torso rotation, perpendicularity between the spine and a line drawn between the shoulders, as well as departures from or maintenance of any of the initial parameters.

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.

An exercise apparatus comprising a foot support movable by the user on the frame back and forth through any one of a plurality of complete, reproducible and different arc segments of a master arcuate path, the foot support being interconnected to an arc segment selection device that is manually actuatable to enable the user to manually select any one of the plurality of different arc segments, the foot support being interconnected to an arm having a handle manually graspable by the user to reduce or increase power or energy required by the user to move the foot support.

A method for resistance training to arm and leg movement can include connecting a horizontally oriented raised weight base secured to a moveable sled in a spaced apart relationship, mounting a agility box, threading a first flexible and extendable one piece stretch cord through a plurality of aligned first upper rollers, securing a static non-extending stretch cord between the moveable sled and a subject, pulling on the first flexible and extendable one piece stretch cord connected to the moveable sled by the subject to receive a first load of resistance causing a physiological change to a targeted part of the subject and simultaneously receiving a second load of resistance to a targeted part of the subject while pulling the moveable sled with the static non-extendable stretch cord.

A golf club head having a striking face configured to impact a golf ball comprises the striking face comprising an effective striking area, the effective striking area having an expected COR value, defined by the following expression, not less than 0.810, $\mathrm{Expected}\mathrm{COR}=\underset{i=1}{\overset{n}{.Math.}}\underset{j=1}{\overset{m}{.Math.}}{p}_{\mathrm{ij}}*c_{\mathrm{ij}}$
wherein p.sub.ij is an impact probability at location or region (i, j) within the effective striking area, and c.sub.ij is a COR value of the location or region (i, j).

A peg (3) is placed on a peg board (2) by a subject. A detection unit (32) detects a contact state between a peg body (31) and a body portion of the subject. A signal transmission unit (33) transmits a signal indicative of a detection result from the detection unit (32).

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

A system for motion analysis includes a sensing device positioned at a knee joint of a bicycle rider, and an electronic device in communication with the sensing device. The electronic device is configured to receive, from the sensing device, a series of pieces of sensed data representing orientations of the sensing device at different times, to determine a motion trajectory of a knee of the rider based on the received pieces of sensed data, and to generate an estimation result regarding correctness of a riding posture of the rider based on the motion trajectory.

A method for planning parameters of a fitness course is disclosed. The method includes the following steps: generating a plurality of limb motion signals by sensing a plurality of limb motions of a body builder through a sensing module, and sensing a physiological state of the body builder to generate a physiological state signal via the sensing module; obtaining a workout characteristic index (WCI) by performing a first calculation related to the plurality of limb motion signals, and obtaining a physiological effect index (PEI) by performing a second calculation associated with the physiological state signal; obtaining a workout effect index (WEI) by performing a third calculation associated with the WCI and the PEI; and evaluating a plurality of categorical factors associated with the WEI to plan the parameters of the fitness course.

An exercise machine may include a stationary frame, an inclinable portion movably connected to the stationary frame, and an incline mechanism connected to the stationary frame. The incline mechanism may include a coiling mechanism, a coiling rod of the coiling mechanism, a flexible coiling link movable with a rotation of the coiling rod, and where the flexible coiling link is connected to the inclinable portion.