| 序号 | 专利名 | 申请号 | 申请日 | 公开（公告）号 | 公开（公告）日 | 发明人 |
|---|---|---|---|---|---|---|
| 41 | VORRICHTUNG ZUR NEURO-VASKULÄREN STIMULATION | EP16843286.2 | 2016-12-13 | EP3389483A2 | 2018-10-24 | REHSE, Chris; DÜZEL, Emrah |
| The invention relates to a device for neurovascular stimulation, at least comprising: at least one brain activity sensor, at least one cardiovascular sensor, at least one computing unit and at least one output unit. The computing unit comprises at least one task algorithm, wherein signals of at least the brain activity sensor and the cardiovascular sensor can be received by the computing unit, and wherein a task, which is in correlation with at least the signals from at least the brain activity sensor and the signals of the cardiovascular sensor, can be determined by means of the task algorithm and can be output by means of the output unit. | ||||||
| 42 | UPPER LIMB REHABILITATION SYSTEM | EP15750330.1 | 2015-08-05 | EP3177375A1 | 2017-06-14 | ROGNINI, Giulio; TADI RAVI, Tej |
| A robotic integrated platform for rehabilitating an upper limb of a subject, comprising: a rehabilitation device, said rehabilitation device comprising a mobile platform, a fixed platform, an upper limb platform and a movement altering device; wherein said mobile platform is movable in regard to said fixed platform, and wherein the upper limb of the subject is in physical contact with said upper limb platform, for exerting a force against said upper limb platform; and wherein said movement altering device alters a movement of said mobile platform; a controller interface for controlling said movement altering device; a computational device for controlling said controller interface, said computational device comprising a VR (virtual reality) module for constructing a VR environment, wherein said computational device provides haptic feedback to the subject through said rehabilitation device; and a VR display for the subject to view the VR environment. | ||||||
| 43 | PORTABLE COMPUTING DEVICE AND ANALYSES OF PERSONAL DATA CAPTURED THEREFROM | EP14803624 | 2014-07-30 | EP3005280A4 | 2017-02-15 | LAKE THOMAS LEE II; KASPARIAN MICHAEL; LI PETER |
| A personal computing device comprising: a processor, an onboard memory, an accelerometer, a gyroscope, and a display; a computer program to create an exercise analysis application comprising: a software module configured to receive data from the accelerometer and the gyroscope that are associated with the bodily motion of a user in three dimensions; a software module configured to place the device in a learning mode, the learning mode comprising recording the data of the user performing a defined exercise to generate a statistical model for the exercise; a software module configured to place the device in a normal mode, the normal mode comprising applying a probabilistic analysis to the bodily motion data to identify an exercise event, classify the exercise by comparison to a recorded model; and a software module configured to apply an analysis to the bodily motion data to score the user's exercise form. | ||||||
| 44 | PORTABLE COMPUTING DEVICE AND ANALYSES OF PERSONAL DATA CAPTURED THEREFROM | EP14803624.7 | 2014-07-30 | EP3005280A1 | 2016-04-13 | LAKE, Thomas Lee, II; KASPARIAN, Michael; LI, Peter |
| A personal computing device comprising: a processor, an onboard memory, an accelerometer, a gyroscope, and a display; a computer program to create an exercise analysis application comprising: a software module configured to receive data from the accelerometer and the gyroscope that are associated with the bodily motion of a user in three dimensions; a software module configured to place the device in a learning mode, the learning mode comprising recording the data of the user performing a defined exercise to generate a statistical model for the exercise; a software module configured to place the device in a normal mode, the normal mode comprising applying a probabilistic analysis to the bodily motion data to identify an exercise event, classify the exercise by comparison to a recorded model; and a software module configured to apply an analysis to the bodily motion data to score the user's exercise form. | ||||||
| 45 | Method and apparatus for optimizing interval training | EP09158116.5 | 2009-04-17 | EP2113290B1 | 2014-12-31 | Nissilä, Juuso |
| An apparatus for an interval exercise performable by a person, the interval exercise including at least two training intervals, each including a work phase and a recovery phase, wherein processing a first exercise parameter data characterizing an exertion level of the interval exercise, detecting a work phase of a training interval from the first exercise parameter data, detecting a value of the first exercise parameter from the exercise parameter data at end of the work phase, and determining a threshold level of a physiological parameter, measured from the person and characterizing the person's recovery level in a recovery phase, based on the value of the first exercise parameter at the end of the work phase. | ||||||
| 46 | Apparatus for motor training and exercise of the human body | EP07822340.1 | 2007-11-08 | EP2089121B1 | 2014-01-08 | FURLAN, Roberto |
| 47 | MOTION DETECTION SYSTEM | EP09786784.0 | 2009-08-04 | EP2328659A1 | 2011-06-08 | GEURTS, Lucas, J., F.; DJAJADININGRAT, Johan, P. |
| A motion detection system(100) comprises a sensor (106) arranged to detect a movement pattern of a movement occasioned by a user, and a control device (108) arranged to receive movement data representative of the detected movement pattern. The control device (108) is further arranged to compare the detected movement pattern data with movement pattern data representative of a predetermined movement pattern and to determine a coherence parameter representative of the coherence between the detected and the predetermined movement pattern. The control device (108) controls a feedback device (110) for providing feedback to the user on the basis of the determined coherence parameter. | ||||||
| 48 | APPARATUS FOR MOTOR TRAINING AND EXERCISE OF THE HUMAN BODY | EP07822340.1 | 2007-11-08 | EP2089121A1 | 2009-08-19 | FURLAN, Roberto |
| An apparatus (1) for motor training and exercise of the human body, comprising: means (11-21) for acquiring biophysiological data and motion parameters related to a voluntary human action, means (31-40a) for processing, storing and summarizing the acquired data and parameters, and means (41-45) for returning at least two feedbacks of information related to the acquired, or acquired and processed, data and parameters, adapted to facilitate correction of the voluntary human action being performed, the information return means being designed to utilize at least one sensory channel. | ||||||
| 49 | Exercise apparatus and exercise monitor | EP08007816.5 | 2008-04-23 | EP1985335A1 | 2008-10-29 | Brown, Stephen Colin; Herbert, Kevin |
Exercise apparatus in the form of a framed trampoline (1,2) is disclosed which includes an exercise monitor, which includes hand grips 4,6 which are connected to a processor circuit 5. The processor 5 drives a display 9 and provides an indication of physiological parameters of the user. The apparatus may include a bounce counter and/or means 12 for detecting the degree of bouncing, for informing the processor 5.
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| 50 | DEVICE FOR DISPLAYING EFFECT OF TRAINING USING WEIGHT MACHINE | EP99917189.5 | 1999-04-27 | EP1075860A1 | 2001-02-14 | YAMAZAKI, Iwao Yaman Ltd.; YAMAZAKI, Kimiyo Yaman Ltd. |
Disclosed is a muscle strengthening exercise machine equipped with an exercise effect display for showing a time-sequential graph representing how the muscle of a selected part of one's body has been developed with time. It comprises bodily impedance measuring means 11 having grip-shaped electrodes H to be applied to selected parts of one's body for determining the bodily impedance; data inputting means 12 for inputting individual data pertaining to sex, age, height and weight with the aid of a colour liquid crystal panel; means 13 for determining a bodily fat rate from the bodily impedance and the individual data; means 14 for calculating the non-fat texture weight from the bodily fat rate and the bodily weight; memory means 15 for storing the non-fat texture weight for each measurement; and display means 16 for providing a time-sequential display of so stored non-fat texture weight, thereby showing how the non-fat texture weight varies with time as a consequence of the muscle strengthening exercise. |
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| 51 | 활동 리마인더를 갖는 활동 인식 | KR20187012436 | 2014-08-07 | KR20180049241A | 2018-05-10 | |
| 운동활동의목표레벨에도달할것을유저에게권장하기위한, 운동수행모니터링시스템. 시스템은, 활동의현재총 레벨과운동활동의목표레벨사이의부족분을계산하는것에의해, 그리고목표레벨에도달하기위해유저가수행할수도있는운동타입을제안하는것에의해유저에게동기부여를할 수도있고, 제안된운동타입은, 유저에게지리적으로가까운활동, 또는유저에의해착용되는, 또는유저가소유하고있는스포츠용기기에기초할수도있다. | ||||||
| 52 | 전자 장치 및 그의 동작 방법 | KR1020160068245 | 2016-06-01 | KR1020170136317A | 2017-12-11 | 정진영; 이은혜; 임덕신; 한경훈 |
| 본발명은전자장치및 그의동작방법에관한것으로, 전자장치는센서; 및상기센서와전기적으로연결된프로세서를포함하되, 상기프로세서는, 상기센서로부터상기전자장치의활동이발생하는것을나타내는제1 데이터를수신하는것에대응하여활동개시를나타내는정보를발생시키고, 상기센서로부터상기활동이운동으로전환되는것을나타내는제2 데이터를수신하는것에대응하여운동개시를나타내는정보를발생시키도록설정될수 있다. | ||||||
| 53 | 활동 리마인더를 갖는 활동 인식 | KR1020167005986 | 2014-08-07 | KR1020160040699A | 2016-04-14 | 화이트크리스틴엘; 오렌스테인마이클엘; 캠벨제니; 셀프크리스티나에스; 워커엘리자베스; 미첼레티마르코; 맥키그그렉; 지퍼러제임스; 래핀스키마이클 |
| 운동활동의목표레벨에도달할것을유저에게권장하기위한, 운동수행모니터링시스템. 시스템은, 활동의현재총 레벨과운동활동의목표레벨사이의부족분을계산하는것에의해, 그리고목표레벨에도달하기위해유저가수행할수도있는운동타입을제안하는것에의해유저에게동기부여를할 수도있고, 제안된운동타입은, 유저에게지리적으로가까운활동, 또는유저에의해착용되는, 또는유저가소유하고있는스포츠용기기에기초할수도있다. | ||||||
| 54 | 활동 리마인더를 갖는 활동 인식 | KR1020167005983 | 2014-08-07 | KR1020160040698A | 2016-04-14 | 화이트크리스틴엘; 오렌스테인마이클엘; 캠벨제니; 셀프크리스티나에스; 워커엘리자베스; 미첼레티마르코; 맥키그그렉; 지퍼러제임스; 래핀스키마이클 |
| 운동활동의목표레벨에도달할것을유저에게권장하기위한, 운동수행모니터링시스템. 시스템은, 활동의현재총 레벨과운동활동의목표레벨사이의부족분을계산하는것에의해, 그리고목표레벨에도달하기위해유저가수행할수도있는운동타입을제안하는것에의해유저에게동기부여를할 수도있고, 제안된운동타입은, 유저에게지리적으로가까운활동, 또는유저에의해착용되는, 또는유저가소유하고있는스포츠용기기에기초할수도있다. | ||||||
| 55 | MESSAGING SYSTEM | US15937166 | 2018-03-27 | US20180277013A1 | 2018-09-27 | AART TIJMEN VAN HALTEREN; JULIENKA MOLLEE; MICHEL KLEIN; ADNAN MANZOOR; ANOUK MIDDELWEERD; SASKIA TE VELDE |
| In an embodiment, an apparatus is presented that assesses an awareness of a user about a need for influencing a change in activity levels of the user by receiving information about activity levels of a user and receiving user input about user activity, associates the user with a category among plural categories based on the awareness assessment, and provides messaging to the user based on simulated effects of targeting various personal determinants to achieve a strong influence on the user's behavior. | ||||||
| 56 | Activity recognition with activity reminders | US15427835 | 2017-02-08 | US10008127B2 | 2018-06-26 | Kristen L. White; Michael L. Orenstein; Jenny Campbell; Christina S. Self; Elizabeth Walker; Marco Micheletti; Greg McKeag; James Zipperer; Michael Lapinsky |
| An athletic performance monitoring system, for motivating a user to reach a goal level of athletic activity. The system may motivate the user by calculation a deficit between a current total level of activity and the goal level of athletic activity, and suggesting activity types that the user may carry out an order to reach the goal level, wherein the suggested activity types may be based on activities that are geographically close to the user, or sporting equipment worn by, or in possession of, the user. | ||||||
| 57 | Wearable modular resistance unit | US14665947 | 2015-03-23 | US10004937B2 | 2018-06-26 | Belinko K. Matsuura; David G. Matsuura; Kaitlin von Hoffmann; Gerard von Hoffmann |
| Disclosed is a muscle toning garment with resistance elements, which may be fluid filled dampers. The garment provides resistance to movement throughout an angular range of motion. The garment may be low profile, and worn by a wearer as a primary garment or beneath conventional clothing. Toning may thereby be accomplished throughout the wearer's normal daily activities, without the need for access to conventional exercise equipment. Alternatively, the device may be worn as a supplemental training tool during conventional training techniques. Sensors may be provided for sensing any of a variety of biometric parameters and for determining exerted power or calories consumed. | ||||||
| 58 | Exercise Systems Including Weight Clusters Composed of Weight Pods, and Components of Such Systems | US15738965 | 2016-07-22 | US20180169456A1 | 2018-06-21 | Rollin Rachele |
| Exercise systems that include self-coupling weight pods that couple with one another to form weight clusters that a user can use in performing various body movements, such as exercise and conditioning movements. Each weight pod typically has a calibrated weight so that the user may know the amount of weight they are using. Each weight pod includes one or more coupling features that allow that weight pod to couple to one or more other weight pods and/or to an accessory, such as a strap. In some embodiments, each weight pod is soft so as to inhibit injury to a user of another close by the user. The weight pods can be used with one or more accessories, such as a strap, a bell bag that emulates a kettle bell, and a rucksack that can be configured to be a multifunctional component of an overall exercise system, among others. | ||||||
| 59 | ELECTRONIC APPARATUS AND OPERATING METHOD THEREOF | US15611382 | 2017-06-01 | US20170348562A1 | 2017-12-07 | Jinyung JUNG; Eunhye LEE; Dokshin LIM; Kyunghoon HAN |
| The present disclosure provides an electronic apparatus. The electronic apparatus includes a sensor and a processor electrically connected to the sensor and configured to generate information indicating a start of an activity when first data indicating that an activity of the electronic apparatus occurs is received from the sensor and generate information indicating a start of an exercise when second data indicating that the activity is associated with the exercise is received from the sensor. | ||||||
| 60 | WEARABLE RESISTANCE DEVICE WITH POWER MONITORING | US15593138 | 2017-05-11 | US20170274249A1 | 2017-09-28 | Jacob A. Moebius; Belinko K. Matsuura; David G. Matsuura; Gerard von Hoffmann |
| Disclosed is a technical training garment configured for use with modular, interchangeable biomechanics units and or resistance modules. The garment may provide resistance to movement throughout an angular range of motion and or tracks a variety of biomechanical parameters such as stride length, stride rate, angular velocity and power expended by the wearer. The garment may be low profile, and worn by a wearer as a primary garment or beneath or over conventional clothing or athletic uniform. The device may be worn as a supplemental training and or diagnostic tool during conventional training protocols, or as a biomechanics or biometric data capture device during competition. | ||||||
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