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We examine a potential technique of performing a classification task based on compressively sensed (CS) data, skipping a computationally expensive reconstruction step. A deep Boltzmann machine is trained on a compressive representation of MNIST handwritten digit data, using a random orthoprojector sensing matrix. The network is first pre-trained on uncompressed data in order to learn the structure...
This paper proposes a GA-SVM classification method which is applied to the dynamic evaluation of taekwondo. For classifying a dynamic action, we converted a dynamic action signal to a frequency spectrum signal for analysis. However, the useful features were concentrated in a part of the frequency spectrum, and the useless features led to a decline in accuracy, operation speed, and efficiency of the...
Among most existing gait rehabilitation robots, it is difficult to find adequate devices for gait rehabilitation of chronic stroke patients who can already stand and move but still need to rehabilitate the affected lower limb through simple, compact, and easy-to use devices. This paper presents a novel haptic based gait rehabilitation system (HGRS) which has the potential to provide over-ground gait...
Indoor robot localization systems using wireless signal measurements have gained popularity in recent years, as wireless Local Area Networks can be found practically everywhere. In this field, a popular approach is the use of fingerprinting techniques, such as Gaussian Processes. In our approach, we improve Gaussian Processes based mapping using path loss models as priors. Path loss models encode...
The mathematical properties of high-dimensional spaces seem remarkably suited for describing behaviors produces by brains. Brain-inspired hyperdimensional computing (HDC) explores the emulation of cognition by computing with hypervectors as an alternative to computing with numbers. Hypervectors are high-dimensional, holographic, and (pseudo)random with independent and identically distributed (i.i...
In this paper we describe the design and validation of a virtual fitness environment aiming at keeping older adults physically and socially active. We target particularly older adults who are socially more isolated, physically less active, and with less chances of training in a gym. The virtual fitness environment, namely Gymcentral, was designed to enable and motivate older adults to follow personalised...
Smartwatches become increasingly powerful and popular. These personal devices carry multiple sensors that continuously measure, collect, and analyze various sensitive personal information. Therefore, a strong and user friendly authentication mechanism is much needed to prevent illegitimate accesses to those devices. However, traditional protection approaches are far from sufficient and desirable for...
Advanced driver assistance systems are required to detect latent hazards posed by surrounding vehicles and generate an appropriate response to enhance safety. Lane changes constitute potentially risky maneuvers, as drivers involved encounter latent hazards due to surrounding vehicles. A careful study of lane change behavior is therefore essential in identifying potential abnormalities that may lead...
In recent years, energy conservation is a very important issue. The main purpose of this paper is to deal with standby power reduction. Most existing approaches combine multiple meter outlets with the remote control to reduce the standby power of household appliances. However, they have to use extra sensors or even require manual operations to achieve desired results. In this paper, a novel method...
The number of children diagnosed with autism spectrum disorders (ASD) is on the rise internationally. Most of these children require some degree of special education provision, whether they are educated in regular or specialized settings. Most if not all children with ASD exhibit some impairments with social communication skills. Yet, these skills are associated with outcomes in cognitive functioning...
As ball screw has complex structure and long range of distribution, single signal collected by one sensor is difficult to express its condition fully and accurately. Multi-sensor data fusion usually has a better effect compared with single signal. Multi-sensor data fusion based on neural network(BP) is a commonly used multi-sensor data fusion method, but its application is limited by local optimum...
Rapid upper body assessment (RULA) is, undoubtedly, one of the most frequently used ergonomic scoring sheets in different industries. The scoring is based on measuring joint angles during assembly tasks. However, the process is labour intensive and requires ergonomists to study hundreds of hours of videos to identify musculoskeletal disorders associated with different assembly tasks. In this paper...
The new tools invading our digital world, such as tablets, smart phones are connected to the data centers through the internet and allows the introduction of new pedagogical tools. Among them, the Massive Open Online Courses (MOOCs), available on internet sites, is inducing worldwide changes in the educative strategies. These tools are particularly well-suited to learn a good background, which is...
Analysis and recognition of motion patterns from data acquired by body-worn inertial sensors is an emerging technology in sports. In this paper we propose an effective method for recognition of fencing footwork using a single body-worn accelerometer. We present a challenging dataset consisting of six actions, which were performed by ten persons and repeated ten times by each of them. We propose a...
Unexploded Ordnances (UXO) classification procedure consists of the following: background subtractions, data inversions and targets feature parameters estimations, and separating UXO from non-hazardous anomalies. First, each dataset is normalized by a corresponding Tx-current; then, all data files are background subtracted; third, the background corrected data are inverted and targets intrinsic (effective...
This article posits reflections from the author's mature body of work that resulted in sizeable national (Denmark) and international (European) funded projects, a patent, commercial product, and a Serious Games company. Main focus is on sharing a two-stage in-action and on-action emergent model for evaluating the use of ICT (serious games and creative expression) in healthcare and learning intervention...
This paper introduces an improved cooperative spectrum sensing (CSS) algorithm for cognitive radio (CR) networks based on the machine learning technique. In this scheme, spectrum sensing consists of two steps. The offline training is performed by K-means clustering method and the threshold is defined by the classification result towards unsupervised data. As for the online classification stage, the...
Demographic change in the next few years will lead to a pronounced disparity in generation distribution. Hence there is a need to develop intelligent systems to support and maintain the autonomy of the elderly at home. A high priority in this case assumes the preparation-free acquisition of vital signs and patient parameters in long-term monitoring systems to detect early changes or deterioration...
We consider the problem of estimating lighting energy consumption in a lighting system upgrade scenario. In this scenario, a building has an existing lighting control system, denoted LCS1. We are interested in estimating the energy consumption if a more energy efficient lighting control system, denoted LCS2, had been installed. Lighting data is available from LCS2 for a specific monitored area and...
This paper presents a weighted minimum variance distortionless response (WMVDR) algorithm for far-field sound source localization in a noisy environment. The broadband beam-forming is computed in the frequency-domain by calculating the response power on each frequency bin and by fusing the narrowband components. A machine learning method based on a support vector machine (SVM) is used for selecting...
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