Body falling is a major risk of the older people. This paper proposes a non-contact scheme for detecting human body state using infrared array sensors, which has the advantages of low cost, easy implementation and hig...
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Body falling is a major risk of the older people. This paper proposes a non-contact scheme for detecting human body state using infrared array sensors, which has the advantages of low cost, easy implementation and high detection accuracy. For achieving real-time monitoring, rather than simple motion analysis, the system identifies suspicious points of body falling by simple positioning, which attempts to achieve the real-time implementation and reduces the analysis of irrelevant data. In addition, considering the influence of the radiation temperature result of the human body, the falling characteristics are included, and the clustering algorithm is proposed to tackle the problem of inaccurate determination of the area caused by the Otsu area detection. Then, a two-layer threshold system model is proposed for excluding jogging movements that are similar to the falling feature. Finally, the features are engaged with the random forest classifier in order to improve the classification rate. Experiments have shown that the proposed fall detection scheme is highly feasible and behaves good fall detection accuracy.
Thermal vision systems based on low-cost IR arraysensors are becoming attractive in many smart living scenarios. This paper proposes a Bayesian framework for recognition and discrimination of body motions based on re...
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ISBN:
(纸本)9781479981311
Thermal vision systems based on low-cost IR arraysensors are becoming attractive in many smart living scenarios. This paper proposes a Bayesian framework for recognition and discrimination of body motions based on real-time analysis of thermal signatures. Unlike conventional frame-based methods, the proposed approach exploits a statistical model for the extraction of body-induced thermal signatures and a mobility model for tracking multi-body motions inside an indoor area. This approach prevents typical detection problems and can be also used in presence of interfering thermal sources such as heaters, radiators and other thermal devices. The Bayesian method is verified experimentally for ceiling mounted sensors and shows high accuracy and robustness even in cases where thermal signatures are closer to the ambient temperature.
Laser-induced hyperthermia (LH) is a treatment technique researched in multiple medical applications, including the treatment of warts and malignant tumors. Optimal laser energy delivery to target tissue is important ...
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ISBN:
(纸本)9781510673311;9781510673304
Laser-induced hyperthermia (LH) is a treatment technique researched in multiple medical applications, including the treatment of warts and malignant tumors. Optimal laser energy delivery to target tissue is important to achieve an effective LH with minimal damage to healthy tissue. However, this can be challenging because optical properties may vary depending on tissue type and environmental factors. Therefore, real-time measurement of temperature is as important as dosimetry for a successful and safe LH application. In addition, the temperature measurement must be non-contact to minimize the risk of microbial contamination. In this study, we developed a temperature-controlled 808 nm diode-laser system that eliminates the risk of thermal damage and contamination by performing non-contact, real-time temperature measurements of the irradiated surface. The system is composed of an 808 nm c-mount diode laser, an infrared (IR) array sensor for temperature measurement, a PC, and an electronic control unit (ECU). The system was tested on phantoms and ex vivo tissues. According to the results, the temperature-controlled 808 nm diode-laser system could maintain the surface temperature of samples at the target temperature value.
The use of thermal sensors is increasing in response to dealing with the problems of the visible light spectrum. These sensors measure the temperature of the object and convert it to some readable output. There is a d...
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The use of thermal sensors is increasing in response to dealing with the problems of the visible light spectrum. These sensors measure the temperature of the object and convert it to some readable output. There is a diverse range of temperature sensors, and different sensors are used for different purposes. The choice of the sensor depends on the cost of the sensor, resolution, and level of accuracy. For instance, an IR camera combined with the RGB sensor can produce better human activity recognition. However, increase the cost of the machine. For some applications, a high resolution is not required and a low-cost sensor can satisfy the need. In this survey, we discuss the employment of thermal sensors in HVAC systems, vehicle, and manufacturing industries as they are heavily used in these industries. We reported the types of available thermal sensors and the sensors commonly used in each industry. This is followed by a comprehensive review of the application-specific methods. In the end, we may say that the selection of the thermal sensor has much importance as well as the choice of the suitable algorithms according to the given conditions to avail the maximum accuracy in our results.
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