NexGen Ergonomics is a Xsens system integrator and provides complete solutions with our HM-Analyzer software with either the 17 sensor MVN Awinda Starter or MVN Awinda hardware configurations. Both MVN Awinda versions use 17 wireless sensors which are fitted on the body with adjustable straps. Its portability makes MVN Awinda ideal for use in research and education. Our unique software features allow users to have multiple systems running from 2-15 sensors by simply adding an Awinda dongle.
Our HM-Analyzer maps from one to 15 inertial sensors to various segments of the body (such as trunk, pelvis, arms, etc.) in order to obtain joint angles according to ISB - International Society of Biomechanics (ISB angles are also anatomical angles) or according to AAOS. The software and system are totally scalable allowing you to use any number of sensors as required. The skeleton which is used for visualization can be adjusted according to the subject's anthropometry.
The software takes care of joint definitions and conversions. The user simply needs to identify the segment that is mapped to the specified sensor.
The application synchronizes the data automatically. The user can then perform various analyses within HM-Analyzer or export data.
The calibration procedure consists of the user selecting either the T-pose or I-pose (posture) and clicking "Calibrate" or using the auto-calibration option.
Animation allows you to replay a recording or an offline imported file. You can zoom in and out on the graphs using the mouse wheel.
Recording duration time can be set manually or automatically by specifying the start and end recording time.
The DATS (Data Analysis Tool Set) module is included and performs a variety of joint angle analysis, filtering and data export. The DATS module provides a graphical user interface (GUI) to perform data analysis. The analysis can be done with streaming (real-time) data or with data that was previously recorded.
The interface uses a graph layout to create various analyses. Tools are available to easily connect the graphical blocks. Data processing block layouts can be saved for reuse.
The DATS module includes various filtering options, biomechanical tools to calculate joint angles (according to the ISB or AAOS) as well as various signal processing tools.
DATS also includes a variety of data filtering options that can be applied which include Butterworth, Chebyshev (1 & 2) and Bessel.
Saved analysis can be saved for reuse or future modifications.
Ergo-Analyzer is an optional HM-Analyzer module that includes the RULA (Rapid Upper Limb Assessment) and OWAS (Ovako Working Posture Analysis System) ergonomic methods.
RULA (rapid upper limb assessment) is a survey method developed for use in ergonomics investigations of workplaces where work-related upper limb disorders are reported. The RULA method can be used to analyze right and/or left upper limbs, neck, trunk and legs postures at selected instants or continuously at a predefined frequency by the users.
The results of the RULA analysis can be saved as .odt or .html files.
The Summary Results screen displays the Left and Right sides results as well as those for the Neck, Trunk and Legs as well as their RULA scores. The forces and weights applied on each chain (right side, left side and Neck-Trunk chain) are also displayed in combo boxes. The RULA grand scores are displayed as colored bars with values.
OWAS (Ovaka Working Posture Assessment System) was developed in Finland in a steel industry company, Ovako Oy, in 1973 to describe the workload in the overhauling of iron smelting ovens (Karhu 1977). It identifies the most common work postures for the back (4 postures), arms (3 postures) and legs (7 postures), and weight of the load handled (3 categories). Whole body posture is described by these body parts with a four digit-code. These 252 postures have been classified to four action categories indicating needs for ergonomic changes. The observations are made as "snapshots" and sampling has usually been with constant time intervals.
The OWAS method can also be used to analyze a global task through its duration by setting the percentages of the postures held by the subject over the task duration and for every body part.
The results of the OWAS analysis can be saved as .odt or .html files.
The obtained results are categorized according to their severity (moderate, severe and extreme). The users can include all results and/or each category of results. Based on the number of critical events contained in the analysis, a number of reports will be generated.
Highly accurate, small and lightweight 3D human wireless motion trackers. Used in a body area network, these portable and unobtrusive wireless trackers are ideal for developing customized wearable solutions.
MVN Awinda Starter (Standard Performance)
|Comms||Radio protocol (Awinda)|
|Hardware||17 wireless sensors, T-shirt + straps|
MVN Awinda (Intermediate Performance)
|Comms||Radio protocol (Awinda)|
|Hardware||17 (+1) wireless sensors, T-shirt + straps|
The optional Awinda Station can receive data from up to 17 MTw's simultaneously. Data from multiple MTw's is time-synchronized to within 10μs. Charges up to 6 MTw's simultaneously.
Awinda Station Specifications
|Operating temperature range|
|Ambient||-25°C - 80°C|
|Specified Performance||0°C - 65°C|
|Specifications for non-condensing environment.||Avoid wet and humid conditions|
|EU/US/UK power adapters provided|
|Awinda Station||PC Interface: USB|
|Dimensions (without antenna)||148 x 104 x 31.9 mm (5.8 x 4.1 x 1.3 in)|
|Weight||200g (7 oz.)|
|Synchronization with third party devices|
|4 BNC connectors||2 for sync in, 2 for sync out|
|TTL pulses||0-3.3V levels|