Modeling the Extravehicular Mobility Unit (EMU) Space Suit: Physiological Implications for Extravehicular Activity (EVA)

2000 ◽  
Author(s):  
D. J. Newman ◽  
P. B. Schmidt ◽  
D. B. Rahn
Keyword(s):  
Space Suit ◽  
Extravehicular Activity ◽  
Mobility Unit

The Helmet-Mounted Display as a Tool to Increase Productivity during Space Station Extravehicular Activity

1988 ◽  
Vol 32 (2) ◽  
pp. 40-43 ◽  
Author(s):  
C. K. Shepherd
Keyword(s):  
Information System ◽  
Rapid Prototyping ◽  
Human Factors ◽  
Space Station ◽  
Extravehicular Activity ◽  
The Core ◽  
Mobility Unit ◽  
Increase Productivity ◽  
New Space ◽  
Rapid Prototyping System

While the debate continues about the safety and applicability of heads-up displays (HUDs) and helmet-mounted displays (HMDs) in the aeronautical environment (as demonstrated in the July, October, and November 1987 issues of the Human Factors Society Bulletin), a voice-controlled HMD is being designed as the core of the information system for the new Space Station Extravehicular Mobility Unit (EMU). This paper describes the human factors issues that suggest the HMD will be a safe and desirable tool for Space Station extravehicular activity (EVA). Also, it briefly outlines a Macintosh-based voice-interactive rapid prototyping system that is being used at the NASA Johnson Space Center for simulating and evaluating the HMD's ability to enhance astronaut productivity in the EVA setting.

Extravehicular activity space suit interoperability

1995 ◽  
Vol 37 ◽  
pp. 115-129 ◽  
Author(s):  
A.Ingemar Skoog ◽  
James W. McBarron ◽  
Guy I. Severin
Keyword(s):  
Activity Space ◽  
Space Suit ◽  
Extravehicular Activity

scholarly journals Extravehicular Activity Micrometeoroid and Orbital Debris Risk Assessment Methodology

2019 ◽  
Author(s):  
Kevin D. Hoffman ◽  
James L. Hyde ◽  
Eric L. Christiansen ◽  
Dana M. Lear
Keyword(s):  
Risk Assessment ◽  
Orbital Debris ◽  
Space Environment ◽  
Assessment Methodology ◽  
Loss Of Life ◽  
Extravehicular Activity ◽  
Mobility Unit ◽  
Risk Assessment Methodology ◽  
Soft Goods

Abstract A well-known hazard associated with exposure to the space environment is the risk of vehicle failure due to an impact from a micrometeoroid and orbital debris (MMOD) particle. Among the vehicles of importance to NASA is the extravehicular mobility unit (EMU) “spacesuit” used while performing a US extravehicular activity (EVA). An EMU impact is of great concern as a large leak could prevent an astronaut from safely reaching the airlock in time resulting in a loss of life. For this reason, a risk assessment is provided to the EVA office at the Johnson Space Center (JSC) prior to certification of readiness for each US EVA. This paper will detail the methodology for an ISS EVA risk assessment. The soft goods regions (multilayer fabric over a pressurized bladder) are the highest contributors of risk for an ISS EVA. The gloves, due to reduced fabric layers to allow for improved dexterity, carry the highest risk per area. ISS EVA risk can be reduced by minimizing the exposure of the front of the suit and gloves to the orbital debris flux.

scholarly journals Evaluating Lumbar Shape Deformation With Fabric Strain Sensors

2020 ◽  
pp. 001872082096530
Author(s):  
Linh Q. Vu ◽  
Han Kim ◽  
Lawrence J. H. Schulze ◽  
Sudhakar L. Rajulu
Keyword(s):  
Injury Risk ◽  
Body Shape ◽  
Human Motion ◽  
The Body ◽  
Strain Sensors ◽  
Body Motion ◽  
Space Suit ◽  
Extravehicular Activity ◽  
Shape Prediction ◽  
Space Suits

Objective To better study human motion inside the space suit and suit-related contact, a multifactor statistical model was developed to predict torso body shape changes and lumbar motion during suited movement by using fabric strain sensors that are placed on the body. Background Physical interactions within pressurized space suits can pose an injury risk for astronauts during extravehicular activity (EVA). In particular, poor suit fit can result in an injury due to reduced performance capabilities and excessive body contact within the suit during movement. A wearable solution is needed to measure body motion inside the space suit. Methods An array of flexible strain sensors was attached to the body of 12 male study participants. The participants performed specific static lumbar postures while 3D body scans and sensor measurements were collected. A model was created to predict the body shape as a function of sensor signal and the accuracy was evaluated using holdout cross-validation. Results Predictions from the torso shape model had an average root mean square error (RMSE) of 2.02 cm. Subtle soft tissue deformations such as skin folding and bulges were accurately replicated in the shape prediction. Differences in posture type did not affect the prediction error. Conclusion This method provides a useful tool for suited testing and the information gained will drive the development of injury countermeasures and improve suit fit assessments. Application In addition to space suit design applications, this technique can provide a lightweight and wearable system to perform ergonomic evaluations in field assessments.

scholarly journals Space Suit Structure and Extravehicular Activity.

2000 ◽  
Vol 56 (1) ◽  
pp. P.25-P.28
Author(s):  
JUNJIRO NAKAHARA
Keyword(s):  
Space Suit ◽  
Extravehicular Activity
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