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Occupant thermal comfort inference using body shape information Open

Jonathan Francis, Sirajum Munir, Matias Alberto Quintana Rosales · 2024

Occupant thermal comfort may be inferred and improved using body shape information. Height, weight, and shoulder circumference of an occupant of a room may be obtained using a depth sensor. A model may be utilized that is trained on a data…

HVAC control fine-grained occupancy pattern estimation Open

Shan Lin, Sirajum Munir · 2024

A thermal state of a plurality of zones of the building is updated according to a building thermal model and information received from temperature sensors of the building. Predicted occupant counts for an upcoming plurality of time slots f…

Human-in-the-loop Sensing and Control for Commercial Building Energy Efficiency and Occupant Comfort Open

Mario Bergés, Sirajum Munir, Charles Shelton · 2021

Most of the existing heating, ventilation and air conditioning (HVAC) systems in commercial buildings operate in a conservative manner by assuming maximum occupancy in each room during pre-specified periods of the week, leading to signific…

Opportunities & Challenges Involved in Local Fabric Sourcing Strategy: A Case Study of Epic Group in Bangladesh Open

Md. Rafiqul Islam Rana, Sirajum Munir · 2020

The importance of local sourcing is increasing day by day as the product life cycles are getting short, lead times are getting narrow, and imposing of tariffs makes it difficult to get competitive pricing. Therefore, the goal of this resea…

EyeFi: Fast Human Identification Through Vision and WiFi-based Trajectory Matching Open

Shiwei Fang, Tamzeed Islam, Sirajum Munir, Shahriar Nirjon · 2020

EyeFi Dataset This dataset is collected as a part of the EyeFi project at Bosch Research and Technology Center, Pittsburgh, PA, USA. The dataset contains WiFi CSI values of human motion trajectories along with ground truth…

EyeFi: Fast Human Identification Through Vision and WiFi-based Trajectory Matching Open

Shiwei Fang, Tamzeed Islam, Sirajum Munir, Shahriar Nirjon · 2020

EyeFi Dataset This dataset is collected as a part of the EyeFi project at Bosch Research and Technology Center, Pittsburgh, PA, USA. The dataset contains WiFi CSI values of human motion trajectories along with ground truth…

EyeFi: Fast Human Identification Through Vision and WiFi-based Trajectory Matching Open

Shiwei Fang, Tamzeed Islam, Sirajum Munir, Shahriar Nirjon · 2020

EyeFi Dataset This dataset is collected as a part of the EyeFi project at Bosch Research and Technology Center, Pittsburgh, PA, USA. The dataset contains WiFi CSI values of human motion trajectories along with ground truth…

EyeFi: Fast Human Identification Through Vision and WiFi-based Trajectory Matching Open

Shiwei Fang, Tamzeed Islam, Sirajum Munir, Shahriar Nirjon · 2020

Human sensing, motion trajectory estimation, and identification are central to a wide range of applications in many domains such as retail stores, surveillance, public safety, public address, smart homes and cities, and access control. Exi…

Leveraging Fine-Grained Occupancy Estimation Patterns for Effective HVAC Control Open

Yukun Yuan, Kin Sum Liu, Sirajum Munir, Jonathan Francis, Charles Shelton , et al. · 2020

As occupancy sensing technologies become mature, various occupancy sensors are increasingly deployed in commercial buildings for pervasive occupancy monitoring. These sensors provide occupant-count data, which contains rich spatiotemporal …

Dataset Open

Sirajum Munir, Jonathan Francis, Matías Quintana, Nadine von Frankenberg, Mario Bergés · 2019

Thermal comfort is very important for well-being and productivity of building occupants. It has been shown that body shape is a useful feature to determine thermal comfort of individuals [2]. It is because, the heat dissipation rate of ind…

Dataset Open

Fabricio Flores, Sirajum Munir, Matías Quintana, Anand Krishnan Prakash, Mario Bergés · 2019

Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. As depth sensors are getting cheaper, they offer a viable solution to est…

Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor [Sample Dataset] Open

Fabricio Flores, Sirajum Munir, Matías Quintana, Anand Krishnan Prakash, Mario Bergés · 2019

[Sample Dataset File.] Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. As depth sensors are getting cheaper, they offer a…

Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor [Sample Dataset] Open

Fabricio Flores, Sirajum Munir, Matías Quintana, Anand Krishnan Prakash, Mario Bergés · 2019

[Sample Dataset File.] Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. As depth sensors are getting cheaper, they offer a…

Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor Open

Fabricio Flores, Sirajum Munir, Matías Quintana, Anand Krishnan Prakash, Mario Bergés · 2019

Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. As depth sensors are getting cheaper, they offer a viable solution to est…

Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor Open

Fabricio Flores, Sirajum Munir, Matías Quintana, Anand Krishnan Prakash, Mario Bergés · 2019

Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. As depth sensors are getting cheaper, they offer a viable solution to est…

OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information Open

Jonathan Francis, Matías Quintana, Nadine von Frankenberg, Sirajum Munir, Mario Bergés · 2019

OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information This repository contains the official data from a USDOE-funded project at Carnegie Mellon University and Bosch Research Pittsburgh. The primary goa…

OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information Open

Sirajum Munir, Jonathan Francis, Matías Quintana, Nadine von Frankenberg, Mario Bergés · 2019

OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information This repository contains the official data from a USDOE-funded project at Carnegie Mellon University and Bosch Research Pittsburgh. The primary goa…

Application-driven Privacy-preserving Data Publishing with Correlated Attributes Open

Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li, Sirajum Munir · 2018

Recent advances in computing have allowed for the possibility to collect large amounts of data on personal activities and private living spaces. To address the privacy concerns of users in this environment, we propose a novel framework cal…

Application-driven Privacy-preserving Data Publishing with Correlated\n Attributes Open

Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li, Sirajum Munir · 2018

Recent advances in computing have allowed for the possibility to collect\nlarge amounts of data on personal activities and private living spaces. To\naddress the privacy concerns of users in this environment, we propose a novel\nframework …

Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information Open

Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton , et al. · 2018

Understanding the models that characterize the thermal dynamics in a smart building is important for the comfort of its occupants and for its energy optimization. Here, a significant amount of research has attempted to utilize thermodynami…

ODDS: Real-Time Object Detection Using Depth Sensors on Embedded GPUs Open

Niluthpol Chowdhury Mithun, Sirajum Munir, Karen Guo, Charles Shelton · 2018

Detecting objects that are carried when someone enters or exits a room is very useful for a wide range of smart building applications including safety, security, and energy efficiency. While there has been a significant amount of work on o…

Odds: Real-Time Object Detection Using Depth Sensors On Embedded Gpus Open

Niluthpol Chowdhury Mithun, Sirajum Munir, Karen Guo, Charles Shelton · 2018

ODDS Smart Building Depth Dataset #Introduction: The goal of this dataset is to facilitate research focusing on recognizing objects in smart buildings using the depth sensor mounted at the ceiling. This dataset contains annotations of dept…

Odds: Real-Time Object Detection Using Depth Sensors On Embedded Gpus Open

Niluthpol Chowdhury Mithun, Sirajum Munir, Karen Guo, Charles Shelton · 2018

ODDS Smart Building Depth Dataset #Introduction: The goal of this dataset is to facilitate research focusing on recognizing objects in smart buildings using the depth sensor mounted at the ceiling. This dataset contains annotations of dept…

COD Open

Kin Sum Liu, Elvin Vindel, Sirajum Munir, Jonathan Francis, Charles Shelton , et al. · 2017

In this poster we introduce the Commercial Occupancy Dataset (COD), a high-resolution long-term dataset of occupancy traces in a commercial office building spanning 9 months and covering zone-level occupancy for five different spaces conta…

FORK Open

Sirajum Munir, Le Quang Vinh Tran, Jonathan Francis, Charles Shelton, Ripudaman Singh Arora , et al. · 2017

Occupancy estimation is very useful for a wide range of smart building applications including energy efficiency, safety, and security. In this demonstration, we present a novel solution called FORK, which uses a Kinect depth sensor for est…

Cod: A Dataset Of Commercial Building Occupancy Traces Open

Kin Sum Liu, Elvin Vindel Pinto, Sirajum Munir, Jonathan Francis, Charles Shelton , et al. · 2017

The Commercial Occupancy Dataset (COD) is a high-resolution long-term dataset of occupancy traces in a commercial office building spanning 9 months and covering room-level occupancy for three different spaces (two conference rooms and one …

Cod: A Dataset Of Commercial Building Occupancy Traces Open

Kin Sum Liu, Elvin Vindel Pinto, Sirajum Munir, Jonathan Francis, Charles Shelton , et al. · 2017

The Commercial Occupancy Dataset (COD) is a high-resolution long-term dataset of occupancy traces in a commercial office building spanning 9 months and covering room-level occupancy for three different spaces (two conference rooms and one …

Long term occupancy estimation in a commercial space: an empirical study Open

Kin Sum Liu, Sirajum Munir, Jonathan Francis, Charles Shelton, Shan Lin · 2017

Understanding occupancy patterns in a building is very useful to control HVAC systems for improving energy efficiency of the building and occupant comfort. There has been a very little attempt to understand long term occupancy patterns in …

Real-Time Fine Grained Occupancy Estimation Using Depth Sensors on ARM Embedded Platforms Open

Sirajum Munir, Ripudaman Singh Arora, Craig Hesling, Juncheng Li, Jonathan Francis , et al. · 2017

Occupancy estimation is an important primitive for a wide range of applications including building energy efficiency, safety, and security. In this paper, we explore the potential of using depth sensors to detect, estimate, identify, and t…

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