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Recent Advances in Thermoregulatory Clothing: Materials, Mechanisms, and Perspectives

ACS Nano, 2023
Personal thermal management (PTM) is a promising approach for maintaining the thermal comfort zone of the human body while minimizing the energy consumption of indoor buildings.
LEQI LEI, Shuo Shi, Dong Wang
exaly   +2 more sources

Bridge the gap: Consumers’ purchase intention and behavior regarding sustainable clothing

Journal of Cleaner Production, 2021
With the textile industry satisfying steadily increasing consumption levels, excessive usage of valuable natural resources provokes a major environmental footprint: 118 billion cubic meters of water are expected to be utilized for global clothing ...
Theresa Maria Rausch   +1 more
exaly   +2 more sources

Sustainable Personal Protective Clothing for Healthcare Applications: A Review

open access: yesACS Nano, 2020
Personal protective equipment (PPE) is critical to protect healthcare workers (HCWs) from highly infectious diseases such as COVID-19. However, hospitals have been at risk of running out of the safe and effective PPE including personal protective ...
Nazmul Karim   +2 more
exaly   +2 more sources

An Ultralight Self-Powered Fire Alarm e-Textile Based on Conductive Aerogel Fiber with Repeatable Temperature Monitoring Performance Used in Firefighting Clothing.

ACS Nano, 2022
Firefighting protective clothing is an essential equipment that can protect firefighters from burn injuries during the firefighting process. However, it is still a challenge to detect the damage of firefighting protective clothing at an early stage when ...
Hualing He   +7 more
semanticscholar   +1 more source

Rebirth fashion: Secondhand clothing consumption values and perceived risks

open access: yesJournal of Cleaner Production, 2020
In recent years, the circular economy of alternative consumption models for secondhand goods has become a subject of prominence. However, very little research has been carried out to obtain an in-depth understanding of the negative or positive consumer ...
Eunsuk Hur
exaly   +2 more sources

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

Computer Vision and Pattern Recognition, 2019
Understanding fashion images has been advanced by benchmarks with rich annotations such as DeepFashion, whose labels include clothing categories, landmarks, and consumer-commercial image pairs. However, DeepFashion has nonnegligible issues such as single
Yuying Ge   +5 more
semanticscholar   +1 more source

Clothing Status Awareness for Long-Term Person Re-Identification

IEEE International Conference on Computer Vision, 2021
Long-Term person re-identification (LT-reID) exposes extreme challenges because of the longer time gaps between two recording footages where a person is likely to change clothing.
Yan Huang   +4 more
semanticscholar   +1 more source

An integrated model of consumers' intention to buy second-hand clothing

International Journal of Retail & Distribution Management, 2022
PurposeThe demand for second-hand clothing has risen rapidly in the past few years. Yet, the understanding of the motivations of consumers buying second-hand clothing is very limited.
K. Koay, Chee Wei Cheah, H. S. Lom
semanticscholar   +1 more source

Clothing condition does not affect meaningful clinical interpretation in markerless motion capture.

Journal of Biomechanics, 2022
Markerless motion capture allows whole-body movements to be captured without the need for physical markers to be placed on the body. This enables motion capture analyses to be conducted in more ecologically valid environments.
Vajra Keller   +4 more
semanticscholar   +1 more source

Managing the barriers of Industry 4.0 adoption and implementation in textile and clothing industry: Interpretive structural model and triple helix framework

Computers in industry (Print), 2020
Manufacturing industries worldwide are on the cusp of Industry 4.0 revolution which will create a paradigm shift by integrating the physical and virtual worlds.
A. Majumdar, Himanshu Garg, Rohan Jain
semanticscholar   +1 more source

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