EP3609366A1 - Système de poste de travail et procédé de commande d'un système de poste de travail - Google Patents

Système de poste de travail et procédé de commande d'un système de poste de travail

Info

Publication number
EP3609366A1
EP3609366A1 EP18711912.8A EP18711912A EP3609366A1 EP 3609366 A1 EP3609366 A1 EP 3609366A1 EP 18711912 A EP18711912 A EP 18711912A EP 3609366 A1 EP3609366 A1 EP 3609366A1
Authority
EP
European Patent Office
Prior art keywords
user
data
sensors
workstation system
work chair
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP18711912.8A
Other languages
German (de)
English (en)
Inventor
Stefan Lukas
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Logicdata Electronic and Software Entwicklungs GmbH
Original Assignee
Logicdata Electronic and Software Entwicklungs GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Logicdata Electronic and Software Entwicklungs GmbH filed Critical Logicdata Electronic and Software Entwicklungs GmbH
Publication of EP3609366A1 publication Critical patent/EP3609366A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C3/00—Chairs characterised by structural features; Chairs or stools with rotatable or vertically-adjustable seats
    • A47C3/20—Chairs or stools with vertically-adjustable seats
    • A47C3/30—Chairs or stools with vertically-adjustable seats with vertically-acting fluid cylinder
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
    • A47C31/12—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
    • A47C31/126—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for chairs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
    • A61B5/4561—Evaluating static posture, e.g. undesirable back curvature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/486—Bio-feedback
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
    • A47B9/00—Tables with tops of variable height
    • A47B2009/006—Tables with tops of variable height of two distinct heights, e.g. coffee table - dining table
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/20—Workers
    • A61B2503/24—Computer workstation operators

Definitions

  • the invention relates to a workstation system and to a workstation system and method for controlling a workstation system
  • sensors e.g. Force sensors in the table to detect a pinch, IR or ultrasonic sensors in the table to detect the presence of a user, or sensors in one
  • Embodiments and developments are the subject of the dependent claims.
  • the efficient concept is based on the idea that, although a large number of sensor data are generally available at the workbench, these sensor data are usually of little significance for the user's state of health. It has now been found that an essential element for such a judgment in the attitude of the user on the
  • Work chair is located. In particular, allow
  • Postural data which are connected via a sensor on or in a
  • Such a feedback can be a mere signaling, or even a change in a setting on the workstation system.
  • Evaluation unit and a feedback device. At least one of the many sensors is at the work table
  • At least one of the plurality of sensors is mounted on or in the gas spring device and
  • the evaluation unit is set up, the attitude data and further measurement data of the plurality of Receive sensors, based on a common evaluation of the received attitude data and measurement data
  • Such a workstation system can be called intelligent to a certain extent, as it is characterized by sensors and
  • Pattern recognition recognizes the behavior and health of the user and triggers actions related to ergonomics, the
  • the workstation system thus represents a solution to the general trend of "advantageous intelligence".
  • beneficial intelligence applied to the furniture industry means: furniture of a workstation system independently analyze and set the workstation and the user
  • the feeling measure represents, for example
  • the user's condition and / or the behavior of the user For example, the collected data is not simply presented to the user, but becomes the user
  • the data of the available sensors in the context of a game that runs in a mobile device of the user or on the PC can be used.
  • the feedback device comprises at least one actuator which is also used for an adjustment function of the workstation system. It is also possible that the feedback device comprises at least one optical and / or tactile and / or haptic and / or acoustic signal generator.
  • the evaluation unit is set up to receive measurement data from one
  • biometric sensor that captures biometric data of the user and to determine the feeling level
  • the biometric sensor is encompassed by a device provided by the user
  • Such a device is for example a fitness tracker, a chest strap, a bracelet, a clock with sensors or the like. Such devices are also referred to by the English term "wearable”. Furthermore, the evaluation unit can be set up for the
  • the particularity is that the data derived from a biometric sensor, communication device or other sensors not contained in furniture components, combined with data collected by sensors in a furniture component, is used to determine
  • the measured data can also be used by the measured data.
  • Sensors are supplied a home automation, for example, in a so-called smart home or smart office. Examples include temperature sensors, presence detectors, brightness sensors, sensors for measuring air quality or the like.
  • the evaluation unit is set up, in the case of the joint evaluation, a time profile of the received attitude data and measurement data
  • the actions are a simple response to the user.
  • settings of the workstation system for example a table height, a lighting setting, a temperature setting or the like can also be changed.
  • the feeling measure and / or the pattern contain change information that is associated with a change
  • the feedback device comprises at least one actuator, which is used for example for a height adjustment of the work table.
  • Evaluation unit is set up, the feedback device for height adjustment of the work table on the basis of
  • the posture data include, for example, at least one of the following: a focus of the user on the work chair; a tilt of the user on the work chair; a seat angle of the user on the work chair; the weight of the user; a height position of the work chair; a rotation angle of the work chair.
  • the mentioned postural data allow far-reaching conclusions to be drawn regarding the well-being of the user as well as his working position and / or one
  • Workstation system further comprises a data processing device, in particular a workstation computer, a tablet computer or a mobile telephone, wherein the evaluation unit of the data processing device comprises or by the
  • Data processing device is formed.
  • the computing power required for the combination of sensors and subsequent evaluation is therefore generally not possible there. Instead of a separate evaluation is therefore proposed, the evaluation by typical on a
  • Workstation to perform available devices, especially workstation computers, tablet computers, mobile phones or other mobile devices.
  • the evaluation unit is set up to repeatedly determine the sensitivity measure and to control the feedback device as a function of the respectively determined sensitivity measure. In doing so, a measure of difference between the determined states of well-being is determined.
  • the feedback device will start at a certain Repetition additionally dependent on whether the difference measure exceeds a threshold value or
  • Workstation system accordingly has a work table, a height-adjustable work chair with a
  • Gas spring device and a plurality of sensors, wherein at least one of the plurality of sensors on
  • Worktable is mounted and at least one of the plurality of sensors is mounted on or in the gas spring device and is adapted to detect attitude data of a user of the work chair. According to the method, the posture data and other measurement data are acquired from the
  • Received a variety of sensors There is a determination of a sensitivity measure of the user based on a common evaluation of the received posture data and measurement data, and driving at least one component of the workstation system depending on the sensitivity measure to perform a feedback.
  • Figure 1 shows an embodiment of a workstation system
  • Figure 2 shows an embodiment of a work chair
  • Figure 3 is an exemplary flowchart for a method of controlling a workstation system
  • FIG. 4 shows another exemplary flow chart for a
  • FIGS. 5A and 5B are exemplary illustrations for applying a method for controlling a
  • FIG. 1 shows an embodiment of a
  • the workstation system comprises a work table 1 with a table top 10, which is mounted on a height-adjustable frame 11. An adjustment is carried out, for example, via corresponding actuators 12. For example, in the frame 11 or in / on the table top 10, one or more force sensors 13 are attached, via which a force and / or
  • the workstation system further comprises a work chair 2 equipped with a gas spring device 21. On or in the gas spring device 21 is a sensor 22nd
  • Gas spring device 21 can be measured.
  • the sensor 22 provides attitude data of the user, who is shown sitting on the work chair 2.
  • a tablet computer 30 is also present as an example of a mobile communication device which, for example, as an evaluation unit according to the
  • a feedback device 40 is symbolically represented, which is formed for example by a tactile or haptic signal generator.
  • a workstation computer system 50 with a screen 51, a computer housing 52, a speaker 53 and a camera 54 is shown.
  • the speaker 53 can serve as an acoustic signal generator.
  • Camera 54 can be used, for example, as a supplier of measurement data.
  • On the screen 51 can be displayed in addition to conventional computer applications and visual feedback of the workstation system. Alternatively to that
  • Tablet computer 30 the workstation computer system 50 can be used as an evaluation unit.
  • a presence detector 60 is further provided in the workstation system, which detects the presence of the
  • the user can detect.
  • the user wears in the representation, for example, a sensor bracelet 70, which is shown in the enlargement.
  • This bracelet 70 has one or more biometric Sensors that can measure and record various body functions of the user.
  • the bracelet 70 may be formed as a so-called smartwatch, which includes corresponding sensors.
  • Figure 2 shows in detail a possible embodiment of
  • the work chair 2 comprises, as an essential element, the gas spring device 21 comprising a piston 23 which can move into a cylinder 24.
  • Cylinder 24 attached.
  • the cylinder 24 is with a
  • Feet cross 25 connected to the bearing surface of the
  • Work chair 2 forms. On the piston 23, a seat 26 is mounted with backrest 27. With the arrows shown in Figure 2 different directions of movement and directions of force are indicated, which can perform the work chair or act on him. One or more of these directions of movement, or the resulting positions can be detected by the sensor 22. For example, a rotation angle and / or a height position of the work chair 2 can be detected. Furthermore, it is basically possible to determine a tilting of the seat 26. In this case, all degrees of freedom can be considered, while in the present illustration, only one tilting direction is indicated. Furthermore, a force can be detected on the seat surface 26, for example, a weight of the user.
  • the data acquired by the sensor 22 can be understood as attitude data, in particular of the user on the
  • the posture data include, for example, at least one of the following: User on the work chair; a tilt of the user on the work chair; a seat angle of the user on the work chair; the weight of the user; a height position of the work chair; a rotation angle of the work chair.
  • a detailed embodiment of a gas spring device can be found for example in the German patent application number 102016102891.6 the applicant and the
  • Workstation system and the method for controlling a workstation system are in the simplest case sensors in the table and in the gas spring device in the work chair
  • biometric data acquisition heartbeat, heartbeat variability HRV, blood pressure
  • Concentration is i.a. influenced by temperature, noise level, air quality, light. Therefore, data from sensors that measure these influencing factors can be advantageously combined to take measures that allow the user to concentrate more easily.
  • the system can provide feedback to the user on factors that may be detrimental to the concentration.
  • the information derived from the evaluation unit by combining the sensor data can trigger various actions.
  • Non-exclusive examples are:
  • Workplace system e.g., vibration or misalignment of the
  • FIG. 3 is intended to illustrate the efficient concept
  • Work chair 2 are supplied and measured data of different origin are evaluated together.
  • the measurement data originate from at least one source from a sensor mounted on the work table 1.
  • the evaluation which is preferably carried out in the evaluation, is based on a common
  • a sense of well-being serves as the basis for feedback, for example via one of the aforementioned
  • attitude data or measurement data and their corresponding evaluation with feedback can be done iteratively, so basically one
  • temporal courses of the posture data or measurement data are also recorded and evaluated. This is in the exemplary flowchart in FIG. 4
  • the attitude data or measurement data are not limited.
  • the stored data can be used to form patterns, in particular by jointly viewing the stored data or the relationship between the data
  • the patterns can also be one
  • the feeling measure can be, for example, by
  • corresponding evaluation software in the evaluation unit uses the data from at least two
  • Patterns serve in particular for the recognition of the person's state of health, for example in the form of fatigue, stress, excitement (in general emotions),
  • the step becomes basically optional
  • the sensitivity measure is thus determined repeatedly, wherein when checking for a change, a difference between the determined sensitivity measures is determined.
  • the type of feedback is made dependent on whether the difference measure a previously set
  • Threshold exceeds or falls below or not. This can also be dependent on the number of completed
  • This decision algorithm can also involve interaction with the person.
  • the workstation system approximately provides the person with multiple feedback and, if e.g. on the measured situation nothing changes, after the second feedback another strategy / action.
  • a force sensor it can be seen by a force sensor, whether someone gets up or sits down. But first through a second sensor, e.g. a motion sensor or gesture control via a mobile device can be
  • FIGS. 5A and 5B show exemplary illustrations for applying a method for controlling a
  • FIG. 5A the user is in a sitting position on the work chair 2 on
  • a first scenario involves getting up and manual
  • the sensors of the gas spring device in the work chair 2 recognize that the user has gotten up.
  • the evaluation now activates a mechanism that allows to adjust the table top 10 by pulling or pressing in height.
  • Table top 10 are used, used for the detection of the pulling and pushing. A drag causes
  • the mechanism deactivates again. That is, after the expiration of this period of time, the pulling / pushing triggers, for example, no adjustment of the tabletop 10 more. If the user pulls / pushes within this time, it triggers the height adjustment (push down, pull upwards). The table moves as long as he pulled / pressed. Interrupts the user
  • a second scenario relates to getting up and automatic height adjustment of the work table and is a modification of the first scenario.
  • the aim is it, if the
  • the table should automatically adjust to a predefined standing position.
  • the sensors of the gas spring device in the work chair 2 recognize that the user has gotten up. If the evaluation unit uses the signals from the
  • Presence sensor 60 detects that the user is not away from the table during the time period, then
  • a third scenario concerns sitting down and automatic height adjustment. The goal is, when the user sits down, then the table should automatically adjust to a predefined seating position. Analogous to the second scenario, this again is an alternative to manual height adjustment according to the first scenario. For example, the following steps are performed: The user sits down. The sensors of the gas spring device in the work chair recognize the sitting down. The evaluation unit activates a mechanism that brings the table top to the predefined seating position. During the journey, for example, a force sensor is used for collision detection.
  • a fourth scenario involves getting up, going away, and automatic height adjustment.
  • the aim is, when the user leaves the workplace, the table should move to a predefined rest position. For example, the following steps are performed:
  • the user is standing or sitting. The user leaves the
  • a presence sensor 60 of the intelligent workstation system notifies the evaluation unit that the
  • a user-worn sensor e.g. a biometric sensor will report the same information.
  • Evaluation unit activates a mechanism that the
  • the force sensor in the back and / or armrest makes it possible to detect various lying or semi-lying positions of the person and, in combination with the time in which the position is in this sitting position, Initiate actions to the person to one
  • biometric data e.g. Respiratory rate, pulse rate or
  • Fatigue associated with excessively high temperature can be used as a signal that cooling action is taken. A temperature measurement alone would not be meaningful enough, because the personal
  • center of gravity measurement can be used to detect a posture that is bent too much forward. The system could then suggest a higher table position as feedback. However, should the measured seat height match the measured table height and thus be seen that the table height is already in the ergonomically correct range, then a suggestion for monitor height adjustment makes sense. This can be done manually or by motor. Alternatively, a distance measurement can be carried out to make the distance between the monitor and the head or eyes of the user.
  • a force sensor located in the table a force that is caused by the support of the person (eg person supports with the elbows on), then, for example, after expiration of a certain time in this position, a proposal for height adjustment of the table done.
  • sensors can use both unidirectional and bidirectional communication.
  • Bidirectional communication allows the system to request data from sensors only when they are needed
  • the communication rates can be reduced by, for example, not
  • Brightness per workstation is available.
  • workstations are not occupied (which can be detected by the combination of one or more occupancy sensors)
  • individual office lights, blinds, or other dimming or lighting devices controllable via the home automation can be deactivated to save energy.
  • Performance of a person during the day is not always the same, but is subject to periodic fluctuations.
  • the time measured by an intelligent workstation system through the combination of various sensors in which
  • the feedback to the user can be made dependent on this personal performance curve.
  • Sensors / actuators can be configured, for example, by the user and thus to the available sensors of the
  • the system will choose from the set of all Algorithms those who can derive meaningful statements with these sensors.
  • the algorithms can be adapted to the user, for example.
  • the adjustment is either done manually by the user by adjusting certain parameters of the patterns
  • Settings can also be stored and retrieved personified.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Orthopedic Medicine & Surgery (AREA)
  • Rheumatology (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • General Physics & Mathematics (AREA)
  • Physiology (AREA)
  • Chair Legs, Seat Parts, And Backrests (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

L'invention concerne un système de poste de travail comprenant une table de travail, un siège de travail réglable en hauteur (2) comportant un dispositif de ressort à gaz (21), une pluralité de capteurs, une unité d'évaluation et un dispositif de rétroaction. À cet effet, au moins un capteur de la pluralité de capteurs est monté sur la table de travail (1). Au moins un autre capteur de la pluralité de capteurs est monté sur ou dans le dispositif de ressort à gaz (21) et est conçu pour détecter des données de posture d'un utilisateur du siège de travail (2). L'unité d'évaluation est conçue pour recevoir les données de posture et d'autres données de mesure provenant de la pluralité de capteurs, pour déterminer une grandeur d'état de santé de l'utilisateur sur la base d'une évaluation commune des données de posture et des données de mesure reçues et pour commander le dispositif de rétroaction en fonction de la grandeur d'état de santé.
EP18711912.8A 2017-04-12 2018-03-15 Système de poste de travail et procédé de commande d'un système de poste de travail Withdrawn EP3609366A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102017107913.0A DE102017107913A1 (de) 2017-04-12 2017-04-12 Arbeitsplatzsystem und Verfahren zur Steuerung eines Arbeitsplatzsystems
PCT/EP2018/056563 WO2018188892A1 (fr) 2017-04-12 2018-03-15 Système de poste de travail et procédé de commande d'un système de poste de travail

Publications (1)

Publication Number Publication Date
EP3609366A1 true EP3609366A1 (fr) 2020-02-19

Family

ID=61691492

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18711912.8A Withdrawn EP3609366A1 (fr) 2017-04-12 2018-03-15 Système de poste de travail et procédé de commande d'un système de poste de travail

Country Status (4)

Country Link
US (1) US20200029707A1 (fr)
EP (1) EP3609366A1 (fr)
DE (1) DE102017107913A1 (fr)
WO (1) WO2018188892A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102018120747A1 (de) * 2018-08-24 2020-02-27 8Sense Gmbh Anordnung für Gebäude
US11037394B2 (en) * 2019-10-01 2021-06-15 Igt Tabletop/furniture game screen methods
US11972064B2 (en) * 2022-08-24 2024-04-30 Hewlett-Packard Development Company, L.P. Ergonomic layout optimization systems and methods

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE29712990U1 (de) * 1997-07-22 1997-09-25 Wen Ching Chuan Schwachlicht- und Sitzhaltungsfehlererfassungs- und Warnsystem
DE19750441C2 (de) * 1997-11-14 2000-01-27 Markus Becker Vorrichtung zur Erfassung und Steuerung von Körperhaltungen zur therapeutischen Anwendung in sitzender Haltung
US6673027B2 (en) * 2000-04-13 2004-01-06 Peter Fischer Posture measurement and feedback instrument for seated occupations
EP1292218B1 (fr) * 2000-06-23 2006-04-26 Bodymedia, Inc. Systeme de surveillance de la sante, du bien-etre et de la condition physique
SE524360C2 (sv) * 2003-02-06 2004-07-27 Saab Xperientia Ab System för att förebygga arbetsskador
DE102007003762A1 (de) * 2007-01-19 2008-07-24 Jacobs University Bremen Ggmbh Vorrichtung und Verfahren zur Ermittlung der Körperhaltung und Signalisierung einer falschen Körperhaltung
AT507736B1 (de) * 2008-12-18 2012-10-15 Spantec Gmbh Vorrichtung zur erfassung einer körperhaltung
DE102009053312B4 (de) * 2009-11-14 2017-02-23 Stabilus Gmbh Ergonomisches Möbelsystem und ein Verfahren zum Einstellen eines ergonomischen Möbelsystems
DE102013109830B4 (de) * 2013-09-09 2020-02-06 Logicdata Electronic & Software Entwicklungs Gmbh Die Erfindung betrifft ein Ergonomiesystem für ein Arbeitsplatzsystem.
DE102014010738A1 (de) * 2014-07-18 2016-01-21 Eberhard Lenz Aktivdynamische Sitzvorrichtung mit Bewegungssensoren
DE102016102891A1 (de) 2016-02-18 2017-08-24 Logicdata Electronic & Software Entwicklungs Gmbh Gasfedervorrichtung zur Höhenverstellung eines Bürostuhls

Also Published As

Publication number Publication date
US20200029707A1 (en) 2020-01-30
WO2018188892A1 (fr) 2018-10-18
DE102017107913A1 (de) 2018-10-18

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