The result “Assessment framework based on wearable sensors for physiological monitoring of building occupants’ comfort and well-being” addresses a fundamental gap in current building operation: the lack of accurate, continuous, and human-centered monitoring of indoor comfort and well-being. Most existing Building Management Systems (BMS) assess comfort indirectly using a small number of environmental parameters, such as air temperature and humidity, and rely on models such as the Predicted Mean Vote (PMV).

These approaches are poorly suited to real-world use because they fail to capture the user’s sensations in terms of thermal perception, stress response, and physiological state.

As a result, buildings frequently operate within standard “comfort” ranges while occupants still experience discomfort, reduced concentration and fatigue. This limitation creates a dual problem. From the human perspective, persistent indoor discomfort is associated with lower productivity, increased stress, and a higher incidence of Sick Building Syndrome symptoms. From the operational perspective, the absence of reliable, real-time comfort feedback forces buildings to rely on static setpoints or reactive occupant complaints, leading to inefficient HVAC operation and excessive energy use without guaranteeing comfort improvements. In essence, current systems lack awareness of how occupants are actually perceiving the indoor environment. The tool responds to this need by enabling the continuous monitoring of indoor comfort and well-being through the integration of environmental data with physiological related quantities that reflect the occupant’s real-time thermo-physiological and stress-related state. Rather than estimating comfort as a statistical average, the tool supports personalised and dynamic comfort assessment, allowing building systems to distinguish between true discomfort and acceptable variability. This human-centric insight enables more precise control strategies that maintain or improve comfort while avoiding excessive heating or cooling. 

By filling the gap between environmental measurements and actual human experience, the tool supports healthier, more comfortable indoor environments, enhances occupant well-being and performance, and enables energy-efficient building operation without compromising comfort. 

The tool is conceived as a personalised comfort service aimed at assessing indoor comfort and well-being in a holistic and human-centric way. Its core idea is to adopt a multidomain comfort approach, in which indoor comfort is assessed by jointly considering the main dimensions of indoor environmental quality, including thermal, acoustic, visual, and air quality related comfort. The tool evaluates whether an indoor environment is perceived as comfortable or not by combining objective measurements with subjective and physiological information, thus reflecting the real experience of occupants rather than relying solely on predefined environmental thresholds, such as those provided by standards. 

The system builds a generalised comfort model that integrates environmental monitoring data (such as temperature, humidity, air quality indicators, lighting levels, and noise), physiological parameters that reflect the occupant’s thermo-physiological and stress-related state (e.g., heart rate and related variability, electrodermal activity, and skin temperature), and user’s personal information, such as age, height, gender, and weight. In addition, it incorporates direct user feedback, for example thermal sensation votes or air quality votes, which provide essential subjective context. All these inputs converge into a unified model designed to capture comfort across multiple dimensions simultaneously. 

The model is initially trained to be as general as possible, allowing it to function across different users and building contexts. Over time, it is progressively fine-tuned to individual users by learning from their personal characteristics, physiological responses, and feedback, thereby improving accuracy and relevance for specific needs and preferences. The tool is deployed as a service within the LIS platform, making its functionality accessible to users and interoperable with building systems. By continuously monitoring environmental, physiological, and subjective data, the tool provides an adaptive and comprehensive assessment of indoor comfort and well-being, supporting more human-centric and building operation. 

The complete framework is still under development and testing and is therefore not yet accessible to external users. Once validation and refinement are completed, the tool is intended to be deployed as a service within the LIS platform. This will make it accessible to users and other stakeholders through the platform’s existing infrastructure, enabling scalable access and integration with building systems and user applications. 

The tool is designed for a broad user group that includes residents in residential buildings, employees and occupants in office and workplace environments, and other building users who interact daily with indoor spaces. In addition, the tool is relevant for building owners, facility managers, and building operators, who can use comfort insights to improve indoor environmental quality, optimise building operation, and enhance the occupants’ well-being.  

The tool contributes to solving the user’s needs by enabling a more accurate, continuous, and human-centric understanding of indoor comfort and well-being. For occupants, it provides an assessment of comfort that reflects their actual experience rather than generic assumptions, accounting for individual characteristics, physiological responses, and user’s feedback across multiple comfort domains (thermal, acoustic, visual, and air quality). This reduces persistent discomfort, stress, and loss of concentration, supporting healthier indoor environments and improving the quality of life. For building stakeholders, such as owners and facility managers, the tool translates the occupants’ comfort into actionable, data-driven insights. By distinguishing between acceptable variability and true discomfort, it supports more precise and efficient building operation, avoiding unnecessary heating, cooling, or ventilation while maintaining or even improving overall indoor comfort. In this way, the tool aligns user well-being with energy-efficient building management. 

The tool is currently in a testing phase and is being evaluated at the Camerino Pilot as part of the MULTICLIMACT demonstrations. The testing period ran from 26/10/2025 to 10/12/2025, involving 28 participants who represent typical building users, such as students and administrative staff. Preliminary feedback from participants highlighted the importance of wearability and comfort during prolonged use. The tests at the Camerino Pilot are helping to validate the tool’s functionality, usability, and data reliability in real-life scenarios, providing insights that will guide further refinements before broader deployment.