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Responsive Visualization Design for Mobile Devices
Published in Bongshin Lee, Raimund Dachselt, Petra Isenberg, Eun Kyoung Choe, Mobile Data Visualization, 2021
Tom Horak, Wolfgang Aigner, Matthew Brehmer, Alark Joshi, Christian Tominski
Today's devices can also sense environmental factors. Ambient light sensors detect the intensity of the light falling into the screen, thus, indicating how well content can still be read and if adjustments of color themes or screen brightness could be beneficial. Additionally, the clock of the device can also be used to adapt visualization content for different times of the day, such as night modes in wayfinding apps. Location sensors such as GPS can calculate the location of the device, which can then be used to load further information on the individuals' surroundings (e.g., on-campus, suburban area, crowded space). In combination with WiFi signals, the location can be inferred more precisely, particularly when indoors. Besides image and video capture, the cameras of devices allow for object, bar/QR code, and face detection or—with depth cameras—for capturing the room properties as well. These can further characterize the surroundings and, for example, indicate if other persons are glancing at the content.
An Overview of Affective Computing from the Physiology and Biomedical Perspective
Published in Spyrou Evaggelos, Iakovidis Dimitris, Mylonas Phivos, Semantic Multimedia Analysis and Processing, 2017
Ilias Maglogiannis, Eirini Kalatha, Efrosyni-Alkisti Paraskevopoulou-Kollia
On the other hand, ambient light sensors provide precise light detection for a wide range of ambient brightness [22] in a manner similar to that of the human eye. In order to be accurate, they are used wherever the settings of a system have to be adjusted to the ambient light conditions as perceived by humans.
A Case Study on the Smart Streetlighting Solution Based on 6LoWPAN
Published in Mohammad Ayoub Khan, Internet of Things, 2022
Manoj Kumar, Prashant Pandey, Salil Jain
Inclusion of a sensor fulfills one of the prerequisites of smart devices owing to its ability to sense the environment. While it is possible to have several sensors installed on a single smart pole, some sensors like ambient light and temperature sensors are essential for the operation. An ambient light sensor allows automatic control of power on/off feature and brightness of the lights based on ambient light levels. Temperature sensors is used to monitor enclosure temperature to prevent overheating of driver electronics and LED heatsink temperature to ensure that the LED temperature does not exceed the design limits, thus helping in extending the LED life. Other useful sensors that can be present on a smart pole are listed below.Presence Sensor: it is used to dim or switch off the lights when no one is around. It can also enable additional use-cases like detection of unauthorized entry. Most used technologies for presence detection are: Passive Infrared (PIR), which uses a pyroelectric element to detect infrared emitted by a human body and radar-based motion detectors which emit radio waves and look for changes in frequency of reflected signal (Doppler shift).Pollution Sensors: These sensors detect the concentration of various pollutants like CO2 and SO2. Many variants of these sensors are based on electrochemical techniques. One class of gas sensors contains metal oxide semiconductor (MOS), which has current flowing through it. When it encounters an oxidizing or reducing gas, its resistance changes, which is interpreted by its electronics. Another class of sensors measures PM 2.5 or PM 10 particles in the air using optical sensing techniques.Traffic Sensors: These can be Doppler/radar-based sensors which detect movement of vehicles or acoustic sensors, which detect noise from the passing vehicles. Traffic sensor can be used to control traffic lights further up the road.
BIM- and IoT-based monitoring framework for building performance management
Published in Journal of Structural Integrity and Maintenance, 2018
Kai Kang, Jiarui Lin, Jianping Zhang
DHT11 is a type of low-cost digital temperature and humidity sensor. The sensor uses NTC thermistor temperature sensing element and the resistive humidity measuring element. The temperature measurement range is from 0°C to 50°C and the measurement accuracy is 2°C. The measured humidity data are the relative humidity of the air with a resolution of 1% RH and an accuracy of 5% RH, and the measurement range is from 20% RH to 90% RH. The ambient light sensor used by the prototype is PT550 CdS photoresistor with the ability to sense the ambient light illuminance. The measurement range is from 1 lx to 6000 lx. There is a problem that the vendor of this kind of sensor does not provide the relationship curve between sensor’s readings and actual light intensity value, so the light data collected by this system is just sensor’s readings without unit. The air quality sensor can detect many kinds of abnormal gas, and the human motion sensor can detect moving person or animals by the infrared signals. The prototype system does not have control function, but it can be implemented by equipping with controlling devices like electric motors or relays.