4.7 Article

Non-intrusive personal thermal comfort modeling: A machine learning approach using infrared face recognition

Related references

Note: Only part of the references are listed.
Article Construction & Building Technology

The impact of personal preference-based thermal control on energy use and thermal comfort: Field implementation

Hejia Zhang et al.

Summary: Recent research focuses on incorporating personalized preferences into optimal building control and implementing them in real buildings. This study presents the development and implementation of personal preference-based thermal control using model predictive control (MPC) and low-cost local sensing in real offices. Experimentally developed probabilistic thermal preference profiles were used, and a customized HVAC control system was implemented. The results showed the benefits of monitoring local thermal conditions, with energy savings of 28-35% using personalized MPC compared to personalized static setpoint control. The overall performance of personalized MPC depends on personal thermal preference characteristics and outdoor conditions.

ENERGY AND BUILDINGS (2023)

Article Construction & Building Technology

Smart detection of indoor occupant thermal state via infrared thermography, computer vision, and machine learning

Yingdong He et al.

Summary: This study proposes a method to predict occupants' thermal state by utilizing infrared thermography, computer vision, and machine learning. By measuring the distribution of skin temperatures on specific areas of the face and hands, and using temperature differences within and between these areas, the effects of calibration drift in thermal infrared cameras are eliminated. The results show that these measurements accurately predict occupant thermal state.

BUILDING AND ENVIRONMENT (2023)

Article Construction & Building Technology

Heating setpoint recommendation strategy for thermal comfort and energy consumption optimization

Rodrigo Almeida et al.

Summary: This study introduces a smart strategy for residential HVAC systems that combines adaptive comfort theory and predictive indoor temperature models to optimize indoor temperature setpoints. Using data from smart thermostats, energy savings of up to 5.2% were estimated by adopting the new setpoint schedules in multiple test cases. The proposed methodology is independent of building construction or personal information, making it applicable in real installations.

ENERGY AND BUILDINGS (2023)

Article Construction & Building Technology

Development of facial-skin temperature driven thermal comfort and sensation modeling for a futuristic application

Mengqi Jia et al.

Summary: This research explores the potential use of human facial skin temperature as primary physiological data to develop data-driven thermal comfort and sensation models. This method can solve the issue of intrusive sensing locations and provide a user-friendly approach using a remote infrared sensor. The experimental results show that the model has high accuracy in predicting thermal comfort and thermal sensation.

BUILDING AND ENVIRONMENT (2022)

Article Construction & Building Technology

Addressing data inadequacy challenges in personal comfort models by combining pretrained comfort models

Tianyu Zhang et al.

Summary: Occupant thermal-comfort complaints are a major operational challenge for facilities managers. In this paper, a general thermal comfort model is developed using artificial labels and clustering methods, which can accurately predict the thermal comfort needs of individuals, addressing the issue of insufficient training data for thermal comfort models.

ENERGY AND BUILDINGS (2022)

Article Engineering, Electrical & Electronic

Joint face detection and Facial Landmark Localization using graph match and pseudo label

Zhiqun Pan et al.

Summary: This paper proposes a real-time framework for joint face detection and Facial Landmark Localization (FLL). It utilizes a fully convolutional network to predict the location of facial landmarks and face regions, and introduces a progressively pseudo labeling training method to eliminate the effect of inaccurate/noisy annotations. Two graph matching algorithms without learnable parameters are also proposed for completing the bottom-up face assembly.

SIGNAL PROCESSING-IMAGE COMMUNICATION (2022)

Article Instruments & Instrumentation

Charlotte-ThermalFace: A Fully Annotated Thermal Infrared Face Dataset with Various Environmental Conditions and Distances

Roshanak Ashrafi et al.

Summary: This article discusses the importance and applications of facial thermography in infrared thermal imaging, as well as the limitations of current facial thermal image datasets. A new facial thermography dataset called Charlotte-ThermalFace is introduced, which includes comprehensive annotations of various data attributes and is the first dataset to provide thermal sensation annotations in different thermal conditions.

INFRARED PHYSICS & TECHNOLOGY (2022)

Article Construction & Building Technology

Energy-efficient personalized thermal comfort control in office buildings based on multi-agent deep reinforcement learning

Liang Yu et al.

Summary: This paper investigates the coordination control problem of personal comfort systems (PCSs) and heating, ventilation, and air conditioning (HVAC) systems in a shared office space. The goal is to minimize energy consumption while maintaining comfortable individual thermal environment for each occupant. A real-time control algorithm based on attention-based multi-agent deep reinforcement learning is proposed. Simulation results show significant reductions in energy consumption and improvements in thermal comfort deviation.

BUILDING AND ENVIRONMENT (2022)

Article Computer Science, Artificial Intelligence

Geometry-attentive relational reasoning for robust facial landmark detection

Zongyong Deng et al.

Summary: A geometry-attentive relational reasoning approach is proposed in this paper for robust facial landmark detection, aiming to reason about intrinsic geometry-aware relations among landmarks for feature enhancement. The experimental results indicate the effectiveness of the proposed approach.

NEUROCOMPUTING (2021)

Article Construction & Building Technology

Machine learning driven personal comfort prediction by wearable sensing of pulse rate and skin temperature

Tanaya Chaudhuri et al.

BUILDING AND ENVIRONMENT (2020)

Article Construction & Building Technology

Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II

Maohui Luo et al.

ENERGY AND BUILDINGS (2020)

Article Construction & Building Technology

Evaluation of comfort in subway stations via electroencephalography measurements in field experiments

Yongmin Kim et al.

BUILDING AND ENVIRONMENT (2020)

Article Construction & Building Technology

A machine learning approach to predict outdoor thermal comfort using local skin temperatures

Kuixing Liu et al.

SUSTAINABLE CITIES AND SOCIETY (2020)

Article Computer Science, Information Systems

A Novel Facial Thermal Feature Extraction Method for Non-Contact Healthcare System

Zhi-Hao Wang et al.

IEEE ACCESS (2020)

Article Construction & Building Technology

Analysis of the accuracy on PMV - PPD model using the ASHRAE Global Thermal Comfort Database II

Toby Cheung et al.

BUILDING AND ENVIRONMENT (2019)

Review Construction & Building Technology

Progress in thermal comfort studies in classrooms over last 50 years and way forward

Manoj Kumar Singh et al.

ENERGY AND BUILDINGS (2019)

Article Construction & Building Technology

Comparative assessment of HVAC control strategies using personal thermal comfort and sensitivity models

Wooyoung Jung et al.

BUILDING AND ENVIRONMENT (2019)

Article Construction & Building Technology

Personal thermal comfort models with wearable sensors

Shichao Liu et al.

BUILDING AND ENVIRONMENT (2019)

Article Construction & Building Technology

NIDL: A pilot study of contactless measurement of skin temperature for intelligent building

Xiaogang Cheng et al.

ENERGY AND BUILDINGS (2019)

Article Computer Science, Artificial Intelligence

Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection

Meilu Zhu et al.

NEURAL NETWORKS (2019)

Article Construction & Building Technology

Machine learning method for real-time non-invasive prediction of individual thermal preference in transient conditions

Andrei Claudiu Cosma et al.

BUILDING AND ENVIRONMENT (2019)

Article Multidisciplinary Sciences

Deep forest

Zhi-Hua Zhou et al.

NATIONAL SCIENCE REVIEW (2019)

Article Energy & Fuels

Towards unsupervised learning of thermal comfort using infrared thermography

Ali Ghahramani et al.

APPLIED ENERGY (2018)

Article Construction & Building Technology

Vision-based thermal comfort quantification for HVAC control

Wooyoung Jung et al.

BUILDING AND ENVIRONMENT (2018)

Article Construction & Building Technology

Thermal comfort modeling in transient conditions using real-time local body temperature extraction with a thermographic camera

Andrei Claudiu Cosma et al.

BUILDING AND ENVIRONMENT (2018)

Article Construction & Building Technology

Investigation on the Indoor Environment Quality of health care facilities in China

Yanchen Liu et al.

BUILDING AND ENVIRONMENT (2018)

Article Construction & Building Technology

Real-time human skin temperature analysis using thermal image recognition for thermal comfort assessment

Henning Metzmacher et al.

ENERGY AND BUILDINGS (2018)

Review Green & Sustainable Science & Technology

Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review

June Young Park et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Computer Science, Artificial Intelligence

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

C. L. Philip Chen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Construction & Building Technology

Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography

Da Li et al.

ENERGY AND BUILDINGS (2018)

Article Construction & Building Technology

Energy consequences of Comfort-driven temperature setpoints in office buildings

Ashrant Aryal et al.

ENERGY AND BUILDINGS (2018)

Review Green & Sustainable Science & Technology

A review of thermal comfort models and indicators for indoor environments

Diana Enescu

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Article Construction & Building Technology

Study of data-driven thermal sensation prediction model as a function of local body skin temperatures in a built environment

Joon-Ho Choi et al.

BUILDING AND ENVIRONMENT (2017)

Article Construction & Building Technology

Real-Time Monitoring of Occupants' Thermal Comfort through Infrared Imaging: A Preliminary Study

Boris Pavlin et al.

BUILDINGS (2017)

Article Construction & Building Technology

Infrared thermography of human face for monitoring thermoregulation performance and estimating personal thermal comfort

Ali Ghahramani et al.

BUILDING AND ENVIRONMENT (2016)

Article Construction & Building Technology

User-led decentralized thermal comfort driven HVAC operations for improved efficiency in office buildings

Farrokh Jazizadeh et al.

ENERGY AND BUILDINGS (2014)

Article Construction & Building Technology

A thermal preference scale for personalized comfort profile identification via participatory sensing

Farrokh Jazizadeh et al.

BUILDING AND ENVIRONMENT (2013)

Article Construction & Building Technology

Investigation of human body skin temperatures as a bio-signal to indicate overall thermal sensations

Joon-Ho Choi et al.

BUILDING AND ENVIRONMENT (2012)

Article Physiology

Regional differences in temperature sensation and thermal comfort in humans

Mayumi Nakamura et al.

JOURNAL OF APPLIED PHYSIOLOGY (2008)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)