Movement asymmetry is one of the motor symptoms associated with Parkinson's disease (PD). Therefore, being able to detect and measure movement symmetry important for monitoring patient's condition. The present paper introduces a novel symbol based index calculated from inertial sensor data. method explained, evaluated, compared six other measures. These measures were used determine both upper lower limbs during walking 11 early-to-mid-stage PD patients 15 control subjects. included in study...

Detecting gait events is the key to many analysis applications that would benefit from continuous monitoring or long-term analysis. Most event detection algorithms using wearable sensors offer a potential for use in daily living have been developed data collected controlled indoor experiments. However, real-word applications, it essential carried out humans' natural environment; involves different speeds, changing walking terrains, varying surface inclinations and regular turns among other...

Gait analysis can convey important information about one's physical and cognitive condition. Wearable inertial sensor systems be used to continuously unobtrusively assess gait during everyday activities in uncontrolled environments. An step the development of such is processing data. This paper presents a symbol-based method detect phases dynamic from accelerometer signals. The addition expert knowledge substitutes need for supervised learning techniques, rendering system easy interpret...

A robust air/fuel ratio “soft sensor” is presented based on non-linear signal processing of the ion current using neural networks. Care taken to make system insensitive amplitude variations, due e.g. fuel additives, by suitable preprocessing signal.

This paper describes the development of a computer-based serious game to enable older individuals practice Tai Chi at home on their own. The player plays by imitating movements presented virtual instructor screen. proposed system is decomposed into two modules. first module design, i.e., process recording an training Chi. Acquired data are used create gesture templates and instructor. second play in which attempts mimic Gestures measured real-time then compared with prerecorded template...

Two spark advance control systems are outlined; both based on feedback from nonlinear neural network soft sensors and ion current detection. One uses an estimate the location of pressure peak other center combustion. Both quantities estimated signal using networks. The estimates correct within roughly two crank angle degrees when evaluated a cycle to basis, one degree averaged over consecutive cycles.The detection system is demonstrated SAAB 9000 car, equipped with 2.3 liter low-pressure...

This paper investigates the use of ionization current to estimate Coefficient Variation for Indicated Mean Effective Pressure, COV(IMEP), which is a common variable combustion st ...

Symbolization of time-series has successfully been used to extract temporal patterns from experimental data. Segmentation is an unavoidable step the symbolization process, and it may be characterized on two domains: amplitude domain. These groups methods present advantages disadvantages each. Can their performance estimated a priori based signal characteristics? This paper evaluates SAX, Persist ACA 47 different time-series, periodicity. Results show that SAX tends perform best random...

Many gait analysis applications involve long-term or continuous monitoring which require measurements to be taken outdoors.Wearable inertial sensors like accelerometers have become popular for such as they are miniature, low-powered and inexpensive but with the drawback that prone noise robust algorithms precise identification of events.However, most event detection been developed by simulating physical world environments inside controlled laboratories.In this paper, we propose a novel...

As an alternative to the existing software architectures that underpin development of smart homes and ambient assisted living (AAL) systems, this work presents a database-centric architecture takes advantage active databases in-database processing. Current platforms supporting AAL systems use database management (DBMSs) exclusively for data storage. Active employ triggers detect react events taking place inside or outside database. DBMSs can be extended with stored procedures functions...

To optimize the performance and reduce emission levels of an internal combustion engine one needs some measurements process duality. We propose two artificial neural network models which use ionization current for estimation position pressure peak air-fuel ratio. The model produces estimates on a cycle-by-cycle basis each cylinders. These are twice as good obtained from linear model. ratio uses universal exhaust gas oxygen sensor reference; it that ten times better than

This work concerns the use of human movement classification as a tool for monitoring and supporting older peoples' lives. The “motion language” methodology is technique which aims at generalizing movements providing easy interpretation motion signals by decomposing

Home-based healthcare technologies aim to enable older people age in place as well support those delivering care. Although a number of smart homes exist, there is no established method architect these systems. This work proposes the development environment an active database system. Active rules database, conjunction with sensors and actuators, monitor respond events taking home environment. Resource adapters integrate heterogeneous hardware software into A "Smart Bedroom" has been developed...

A method for robust tuning of individual cylinders air-fuel ratio is proposed. The fuel injection adjusted so that each cylinder has the same in inner control loops, and resulting exhaust pipe controlled with an gas oxygen sensor (EGO) outer loop to achieve stoichiometric ratio. Correction factors provide timing are calculated based on measurements ion currents cylinders. An implementation a production vehicle shown results from driving highway.

It is desirable for an engine control system to maintain a stable combustion. A high combustion variability (typically measured by the relative variations in produced work, COV(IMEP)) can indicate ...

The gold standard for gait analysis, in-lab 3D motion capture, is not routinely used clinical assessment due to limitations in availability, cost and required training. Inexpensive alternatives ...

The location of the peak pressure can serve as a control parameter to adjust ignition timing and optimize engine performance. ionization sensor, an electrical probe for combustion diagnostics, provide information about location. However, reliability such is rather poor. In-cylinder gas flow at electrodes may be one reason this. We present results from investigation relationship between sensor current under various conditions. velocity in vicinity electrode gap was measured by LDA. From infer...

Gait analysis (GA) is an important tool in the assessment of several physical and cognitive conditions. The lack simple economically viable quantitative GA systems has hindered routine c ...

In recent years more data is logged from the electronic control units on-board in commercial vehicles. Typically, transferred vehicle at workshop to a centralized storage for future analysis. This vast amount of used debugging, as knowledgebase design engineer and tool service planning.Manual analysis this often time consuming, due rich information contained. However, there an opportunity automatically assist process based on knowledge discovery techniques, even directly when trucks first...