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Sensors!
This chapter introduces you to the delightful domain of electronic sensors! Just like our bodies take in information, computers and other electronic...
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Range Sensors
Reflective optical techniques are popular for 3D shape acquisition because they are non-contact, fast, and cost-effective. Active optical techniques...
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Social media sensors as early signals of influenza outbreaks at scale
Detecting early signals of an outbreak in a viral process is challenging due to its exponential nature, yet crucial given the benefits to public...
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A Novel Light Reflection-Random Walk for Smart Sensors Relocation
This paper presents a new algorithm for relocating sensors in a Wireless Sensor and Robots Network (WSRN) using a mobile robot. The goal is to repair...
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Data-driven soft sensors in blast furnace ironmaking: a survey
The blast furnace is a highly energy-intensive, highly polluting, and extremely complex reactor in the ironmaking process. Soft sensors are a key...
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Fusion of kinematic and physiological sensors for hand gesture recognition
The uncertainty of hand gestures, the variability of gestures across subjects, and the high cost of collecting a large amount of annotated data lead...
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Occupancy detection via thermal sensors for energy consumption reduction
With the emergence of Internet of Things (IoT), the usage of sensors for controlling and monitoring remote devices to achieve sustainability has...
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Estimating time-delayed variables using transformer-based soft sensors
In the course of digitization, there is an increased interest in sensor data, including data from old systems with a service life of several decades....
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User Authentication and Identification on Smart Glasses with Motion Sensors
As the popularity of wearable devices increases, it is becoming crucial to provide authentication on these personal devices and prevent unauthorized...
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A multi-graph convolutional network based wearable human activity recognition method using multi-sensors
Wearable human activity recognition (WHAR) using multi-sensors is a promising research area in ubiquitous and wearable computing. Existing WHAR...
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Senses and Sensors
Virtual reality is known as dependent on specific hardware. This chapter explains why this hardware is needed. Users in VR should be able to perceive...
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Impact of Biometric Sensors on Physical Activity
Currently, the use of biometric sensors in physical activity has received considerable interest from academics and industry. Biometric sensors such...
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Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments
Abstract—Human activity recognition (HAR) has become a focus of study over the past few years. It is widely used in many fields like health, home...
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RehabFAB: design investigation and needs assessment of displacement-orientated fabric wearable sensors for rehabilitation
Patients with motor impairments (e.g., stroke, bone fracture, Parkinson’s) are sensitive to the wearing experience of rehabilitation devices, and...
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Deep learning based object detection from multi-modal sensors: an overview
Object detection is an important problem and has a wide range of applications. In recent years, deep learning based object detection with...
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
This paper presents a novel hybrid optimization method to solve the resource allocation problem for multi-target multi-sensor tracking of drones....
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Earth Sensors
Earth sensors were some of the earliest spacecraft sensors. Many early satellites were for communications or Earth observations, so the most...
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Reading Different Sensors with Arduino
This chapter shows how some of the commonly used sensors can be connected to the Arduino board. Many of the sensor producers have ready-to-use...
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Meta-heuristic based feature selection for aberration detection in human activity using smartphone inertial sensors
Wearable devices are equipped with inertial sensors that can collect motion data and provide objective measures of a person's physical activity....
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Federated learning inspired privacy sensitive emotion recognition based on multi-modal physiological sensors
Traditional machine learning classifiers can automatically evaluate human behaviour and emotion recognition tasks. However, prior research work does...
