A Novel Approach to Design Nanoporous Polyethylene/Polyester Composite Fabric via TIPS for Human Body Cooling

In bottom-up multi-person pose estimation, grouping joint candidates into the appropriately structured corresponding instance of a person is challenging. In this paper, a new bottom-up method, the Partitioned CenterPose (PCP) Network, is proposed to better cluster the detected joints. To achieve this goal, we propose a novel approach called Partition Pose Representation (PPR) which integrates the instance of a person and its body joints based on joint offset. PPR leverages information about the center of the human body and the offsets between that center point and the positions of the body’s joints to encode human poses accurately. To enhance the relationships between body joints, we divide the human body into five parts, and then, we generate a sub-PPR for each part. Based on this PPR, the PCP Network can detect people and their body joints simultaneously, then group all body joints according to joint offset. Moreover, an improved l1 loss is designed to more accurately measure joint offset. Using the COCO keypoints and CrowdPose datasets for testing, it was found that the performance of the proposed method is on par with that of existing state-of-the-art bottom-up methods in terms of accuracy and speed.

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Inside Humans: Creating a Simple Layered Anatomical Model from Human Surface Scans

Frontiers in Virtual Reality ◽

10.3389/frvir.2021.694244 ◽

2021 ◽

Vol 2 ◽

Author(s):

Martin Komaritzan ◽

Stephan Wenninger ◽

Mario Botsch

Keyword(s):

Human Body ◽

Computer Animation ◽

Physical Simulation ◽

The Body ◽

Surface Layers ◽

Novel Approach ◽

Body Shapes ◽

Surface Scan ◽

Morphable Models ◽

Muscle Models

3D morphable models are widely used to describe the variation of human body shapes. However, these models typically focus on the surface of the human body, since the acquisition of the volumetric interior would require prohibitive medical imaging. In this paper we present a novel approach for creating a volumetric body template and for fitting this template to the surface scan of a person in a just a few seconds. The body model is composed of three surface layers for bones, muscles, and skin, which enclose the volumetric muscle and fat tissue in between them. Our approach includes a data-driven method for estimating the amount of muscle mass and fat mass from a surface scan, which provides more accurate fits to the variety of human body shapes compared to previous approaches. We also show how to efficiently embed fine-scale anatomical details, such as high resolution skeleton and muscle models, into the layered fit of a person. Our model can be used for physical simulation, statistical analysis, and anatomical visualization in computer animation and medical applications, which we demonstrate on several examples.

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UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions

Proceedings of the AAAI Conference on Artificial Intelligence ◽

10.1609/aaai.v34i03.5653 ◽

2020 ◽

Vol 34 (03) ◽

pp. 2677-2684

Author(s):

Marjaneh Safaei ◽

Pooyan Balouchian ◽

Hassan Foroosh

Keyword(s):

Action Recognition ◽

Human Body ◽

Large Scale ◽

Temporal Information ◽

Training Data ◽

Body Motion ◽

Human Actions ◽

Still Images ◽

Still Image ◽

Novel Approach

Action recognition in still images poses a great challenge due to (i) fewer available training data, (ii) absence of temporal information. To address the first challenge, we introduce a dataset for STill image Action Recognition (STAR), containing over $1M$ images across 50 different human body-motion action categories. UCF-STAR is the largest dataset in the literature for action recognition in still images. The key characteristics of UCF-STAR include (1) focusing on human body-motion rather than relatively static human-object interaction categories, (2) collecting images from the wild to benefit from a varied set of action representations, (3) appending multiple human-annotated labels per image rather than just the action label, and (4) inclusion of rich, structured and multi-modal set of metadata for each image. This departs from existing datasets, which typically provide single annotation in a smaller number of images and categories, with no metadata. UCF-STAR exposes the intrinsic difficulty of action recognition through its realistic scene and action complexity. To benchmark and demonstrate the benefits of UCF-STAR as a large-scale dataset, and to show the role of “latent” motion information in recognizing human actions in still images, we present a novel approach relying on predicting temporal information, yielding higher accuracy on 5 widely-used datasets.

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Development and Evaluation of a Low-Energy Consumption Wearable Wrist Warming Device

International Journal of Automation Technology ◽

10.20965/ijat.2018.p0911 ◽

2018 ◽

Vol 12 (6) ◽

pp. 911-920 ◽

Cited By ~ 2

Author(s):

Guillaume Lopez ◽

Takahiro Tokuda ◽

Manami Oshima ◽

Kizito Nkurikiyeyezu ◽

Naoya Isoyama ◽

...

Keyword(s):

Energy Consumption ◽

Human Body ◽

Thermal Sensation ◽

Cold Climate ◽

The Body ◽

Psychological State ◽

Peltier Element ◽

Direct Head ◽

Body Cooling ◽

Air Conditioning Systems

Today in Japan, comfortable lifestyle and environment realized by abundant electric power is being questioned by energy consumption reduction policies called “cool biz” in summer, and “warm biz” in winter. One reason of these policies is the bad energy consumption efficiency of current air-conditioning systems that cool or warm indirectly human body. Several researches have been investigating the effect of direct human body cooling and warming. However, most proposed solutions focus on direct head or neck cooling, using ice to cool a water circulating system, such temperature during use cannot be controlled accurately nor adapted to user and environment conditions. Recently, a Japanese research team developed a portable system using Peltier elements that can both cool and warm neck. Though cooling was demonstrated to affect positively both physiological and psychological state in summer heat environment, in cold climate it could be confirmed for only neck warming but not feet and hands. In our objective of developing effective energy saving technology for direct temperature-conditioning of human body, and in order to reduce the discomfort caused by body chillness, we have proposed and developed a Peltier element based wrist-mounted wearable device that directly warms human body. A first experimental study showed how wrist warming rhythm affects hyperthermic sensation. Then, we verified whether the thermal sensation of the body, including the extremities, is improved by changing the position where the wrist is warmed.

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A Novel Approach to the Problem of Highly Sensitive Routine Analysis for Man-made Plutonium in Environment and Human Body

Radiochimica Acta ◽

10.1524/ract.1995.68.4.227 ◽

1995 ◽

Vol 68 (4) ◽

Cited By ~ 5

Author(s):

Yu. T. Chuburkov ◽

V. P. Perelygin ◽

I. Zvára ◽

Z. Szeglowski ◽

S. P. Shtanko ◽

...

Keyword(s):

Human Body ◽

Routine Analysis ◽

Novel Approach ◽

Highly Sensitive

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Detailed evaluation of human body cooling techniques through thermo-physiological modelling

Occupational Safety and Hygiene VI ◽

10.1201/9781351008884-18 ◽

2018 ◽

pp. 103-108

Author(s):

António M. Raimundo ◽

Divo A. Quintela ◽

A. Virgílio ◽

M. Oliveira

Keyword(s):

Human Body ◽

Physiological Modelling ◽

Detailed Evaluation ◽

Body Cooling

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Wearable Polyethylene/Polyamide Composite Fabric for Passive Human Body Cooling

ACS Applied Materials & Interfaces ◽

10.1021/acsami.8b14140 ◽

2018 ◽

Vol 10 (48) ◽

pp. 41637-41644 ◽

Cited By ~ 15

Author(s):

Ying-Nan Song ◽

Ru-Jun Ma ◽

Ling Xu ◽

Hua-Dong Huang ◽

Ding-Xiang Yan ◽

...

Keyword(s):

Human Body ◽

Body Cooling

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Pressure Evaluation Of Seamless Yoga Leggings Designed With Partition Structure

Autex Research Journal ◽

10.2478/aut-2021-0053 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Weirong Wang ◽

Xuliang Yu ◽

Honglian Cong

Keyword(s):

Human Body ◽

Pressure Change ◽

Structure Design ◽

Lower Limbs ◽

Functional Evaluation ◽

Skin Deformation ◽

Novel Approach ◽

Skin Pressure ◽

Partition Structure ◽

Human Body Surface

Abstract It is a novel approach to design the partition structure of clothing according to the deformation of the human body surface skin during exercise. The functional evaluation of these products remains unknown, and there is limited knowledge about the effects of the partition structure design on the pressure comfort of clothing. This research carried out a partitioned structural design of the leggings based on the skin deformation of the lower limbs of the human body during yoga exercise and developed two styles of seamless yoga leggings. The skin pressure exerted by the new seamless yoga leggings was compared with two commercial yoga leggings. Eight female college students were invited to wear all the yoga leggings samples and perform yoga exercises. The skin pressure exerted by yoga leggings was measured by the German novel-Pliance multipurpose pressure distribution measurement system on 10 body positions. The results showed that yoga leggings designed with a partitioned structure exert a comfortable pressure on the skin during yoga exercise, and the pressure change was smaller under different yoga postures, which has better pressure stability. The partition structure design model of seamless yoga leggings was optimized, which provided a reference for the functional partition design and product development of seamless yoga leggings.

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