On the qualities of the air as affected by radiant energies (photocatalytic ionization processes for remediation of indoor environments)

2007 ◽  
Vol 6 (3) ◽  
pp. 329-342 ◽  
Author(s):  
Stacy L Daniels
Keyword(s):  
Indoor Environments ◽  
Ionization Processes

Chemi-ionization processes

1993 ◽  
Vol 163 (6) ◽  
pp. 39 ◽  
Author(s):  
A.N. Klucharev
Keyword(s):  
Ionization Processes

Study of ionization processes in a low-pressure arc discharge

2019 ◽  
Vol 0 (9) ◽  
pp. 9-14
Author(s):  
A. V. Ushakov ◽  
◽  
I. V. Karpov ◽  
L. Yu. Fedorov ◽  
E.A. Dorozhkina ◽  
...  
Keyword(s):  
Arc Discharge ◽  
Low Pressure ◽  
Ionization Processes

scholarly journals Towards human distance estimation using a thermal sensor array

2021 ◽  
Author(s):  
Abdallah Naser ◽  
Ahmad Lotfi ◽  
Joni Zhong
Keyword(s):  
High Resolution ◽  
Independent Living ◽  
Sensor Array ◽  
Distance Estimation ◽  
Thermal Sensor ◽  
Indoor Environments ◽  
Contagious Diseases ◽  
Novel Approach ◽  
Thermal Cameras ◽  
Distance Estimator

AbstractHuman distance estimation is essential in many vital applications, specifically, in human localisation-based systems, such as independent living for older adults applications, and making places safe through preventing the transmission of contagious diseases through social distancing alert systems. Previous approaches to estimate the distance between a reference sensing device and human subject relied on visual or high-resolution thermal cameras. However, regular visual cameras have serious concerns about people’s privacy in indoor environments, and high-resolution thermal cameras are costly. This paper proposes a novel approach to estimate the distance for indoor human-centred applications using a low-resolution thermal sensor array. The proposed system presents a discrete and adaptive sensor placement continuous distance estimators using classification techniques and artificial neural network, respectively. It also proposes a real-time distance-based field of view classification through a novel image-based feature. Besides, the paper proposes a transfer application to the proposed continuous distance estimator to measure human height. The proposed approach is evaluated in different indoor environments, sensor placements with different participants. This paper shows a median overall error of $$\pm 0.2$$ ± 0.2  m in continuous-based estimation and $$96.8\%$$ 96.8 % achieved-accuracy in discrete distance estimation.

Sign in / Sign up

Export Citation Format

Share Document