Utilizing Digital Body Tracking Systems to Develop Sustainable and Ideal Workspace

Artificial intelligence (AI), with its accuracy and nonbiased performance, has the potential to analyze human needs and provide more appropriate spaces. AI, especially body tracking systems, has the potential to detect human necessities based on their behaviors and body conditions. This research aims to explore AI’s body tracking systems to detect detailed human motion, position, and body temperature, to fulfill human-specific necessities in their workspaces. The results showed that the body tracking system effectively identifies human necessities for spatial comfort based on their preferences and habits. It also showed responsive and accurate data to control energy and material efficiency used and needed. To conclude, the body tracking system has the potential to generate a sustainable and ideal workspace. A healthy and well-being environment can be fulfilled through a sustainable workspace and support creative industries’ sustainability through human productivity. Keywords: artificial intelligence, body tracking system, human comfort, human necessities, sustainable workspace

Authors

Institutions

Publication Details

Journal
KnE Social Sciences
Published
2025-01-10
DOI
https://doi.org/10.18502/kss.v10i3.17889
Citations
1
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing Digital Body Tracking Systems to Develop Sustainable and Ideal Workspace

Athifa Sri Ismiranti, Alexandra Kogia
1 citations
KnE Social Sciences
Ergonomics and Musculoskeletal Disorders
2.44
article

Utilizing Digital Body Tracking Systems to Develop Sustainable and Ideal Workspace

Athifa Sri Ismiranti, Alexandra Kogia
article en
1 citations

Abstract

Artificial intelligence (AI), with its accuracy and nonbiased performance, has the potential to analyze human needs and provide more appropriate spaces. AI, especially body tracking systems, has the potential to detect human necessities based on their behaviors and body conditions. This research aims to explore AI’s body tracking systems to detect detailed human motion, position, and body temperature, to fulfill human-specific necessities in their workspaces. The results showed that the body tracking system effectively identifies human necessities for spatial comfort based on their preferences and habits. It also showed responsive and accurate data to control energy and material efficiency used and needed. To conclude, the body tracking system has the potential to generate a sustainable and ideal workspace. A healthy and well-being environment can be fulfilled through a sustainable workspace and support creative industries’ sustainability through human productivity. Keywords: artificial intelligence, body tracking system, human comfort, human necessities, sustainable workspace

KnE Social SciencesVol. 10(3)
University College London (GB), Telkom University (ID)
Responsible consumption and production
Openalex Percentile: Top 16%
Ergonomics and Musculoskeletal Disorders
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Utilizing Digital Body Tracking Systems to Develop Sustainable and Ideal Workspace — Athifa Sri Ismiranti, Alexandra Kogia · KnE Social Sciences (2025) | TGRS Research Map | TGRS