An audio signal based model for condition monitoring of sheet metal stamping process

Tool condition monitoring is an important factor in ensuring manufacturing efficiency and product quality. Audio signal based methods are a promising technique for condition monitoring. However, the influence of interfering signals and background noise has hindered the use of this technique in production sites. Blind signal separation (BSS) has the potential to solve this problem by recovering the signal of interest out of the observed mixtures, given that the knowledge about the BSS model is available. In this paper, we discuss the development of the BSS model for sheet metal stamping with a mechanical press system, so that the BSS techniques based on this model can be developed in future. This involves conducting a set of specially designed machine operations and developing a novel signal extraction technique. Also, the link between stamping process conditions and the extracted audio signal associated with stamping was successfully demonstrated by conducting a series of trials with different lubrication conditions and levels of tool wear.

Validity of wearable technology to measure peak impact during high-intensity treadmill running

The purpose of this study was to identify the validity of an upper-body mounted accelerometer to measure peak acceleration during high-intensity treadmill running. A twelve camera motion analysis (MA) system was used as the criterion measure with markers placed on and close to the accelerometer. Ten peak impacts per participant were compared (n = 390). All accelerometer values were significantly different between the MA unit and T6 reflective marker’s acceleration data. Smoothing accelerometer data at 8 and 6 Hz provides an acceptable indirect measure of peak impact acceleration performed during high-intensity running. Consequently, smoothing algorithms should be incorporated into the commercially available software that the devices are supplied with.

Design and fabrication of a capacitance based wearable pressure sensor using e-textiles

This paper addresses the methods used for the design and fabrication of a capacitance based wearable pressure sensor fabricated using neoprene and (SAC) plated Nylon Fabric. The experimental set up for the pressure sensor is comprised of a shielded grid of sensing modules, a 555 timer based transduction circuitry, and an Arduino board measuring the frequency of signal to a corresponding pressure. The fundamental design parameters addressed during the development of the pressure sensor presented in this paper are based on size, simplicity, cost, adaptability, and scalability. The design approach adopted in this paper results in a sensor module that is less obtrusive, has a thinner and flexible profile, and its sensitivity is easily scalable for ‘smart’ product applications across industries associated to sports performance, ergonomics, rehabilitation, etc.

Fabrication of force sensor circuits on wearable conductive textiles

This paper discusses design and fabrication processes in the development of a wearable and flexible conductive resistive sensor. The design and development of the sensor involve the use of Sn-Ag-Cu (SAC)plated Nylon fabric, precisionfused deposition modeling(FDM) using silicone and petrolatum for etch-resistant masks using the EnvisionTEC GmbH Bioplotter, and wet etching using Chromium, Ammonium Persulphate, and Salt-Vinegar etching solutions. Preliminary testing with other mask types, development processes, and sensor design approaches for various applications are discussed.

Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall

Preliminary research has suggested that wearable cameras may reduce under-reporting of energy intake (EI) in self-reported dietary assessment. The aim of the present study was to test the validity of a wearable camera-assisted 24 h dietary recall against the doubly labelled water (DLW) technique. Total energy expenditure (TEE) was assessed over 15 d using the DLW protocol among forty adults (n 20 males, age 35 (sd 17) years, BMI 27 (sd 4) kg/m2 and n 20 females, age 28 (sd 7) years, BMI 22 (sd 2) kg/m2). EI was assessed using three multiple-pass 24 h dietary recalls (MP24) on days 2-4, 8-10 and 13-15. On the days before each nutrition assessment, participants wore an automated wearable camera (SenseCam (SC)) in free-living conditions. The wearable camera images were viewed by the participants following the completion of the dietary recall, and their changes in self-reported intakes were recorded (MP24+SC). TEE and EI assessed by the MP24 and MP24+SC methods were compared. Among men, the MP24 and MP24+SC measures underestimated TEE by 17 and 9%, respectively (P< 0.001 and P= 0.02). Among women, these measures underestimated TEE by 13 and 7%, respectively (P< 0.001 and P= 0.004). The assistance of the wearable camera (MP24+SC) reduced the magnitude of under-reporting by 8% for men and 6% for women compared with the MP24 alone (P< 0.001 and P< 0.001). The increase in EI was predominantly from the addition of 265 unreported foods (often snacks) as revealed by the participants during the image review. Wearable cameras enhance the accuracy of self-report by providing passive and objective information regarding dietary intake. High-definition image sensors and increased imaging frequency may improve the accuracy further.

Validity of a wearable accelerometer device to measure average acceleration values during high speed running

The aim of this study was to determine the validity of an accelerometer to measure average acceleration values during high speed running. Thirteen subjects performed three sprint efforts over a 40 m distance (n = 39). Acceleration was measured using a 100 Hz tri-axial accelerometer integrated within a wearable tracking device (SPI-HPU, GPSports, Canberra). To provide a concurrent measure of acceleration, timing gates were positioned at 10 m intervals (0 m - 40 m). Accelerometer data collected during 0 m - 10 m and 10 m - 20 m provided a measure of average acceleration values. Accelerometer data was recorded as the raw output and filtered by applying a 3 point moving average and a 10 point moving average. The accelerometer could not measure average acceleration values during high speed running. The accelerometer significantly overestimated average acceleration values during both 0 m - 10 m and 10 m - 20 m, regardless of the data filtering technique (p < 0.001). Body mass significantly affected all accelerometer variables (p < 0.10, partial η = 0.091 - 0.219). Body mass and the absence of a gravity compensation formula affect the accuracy and practicality of accelerometers. Until GPSports integrated accelerometers incorporate a gravity compensation formula the usefulness of any accelerometer derived algorithms is questionable.

A cavalcade of erasures: an educational audio-visual presentation

Dirk de Bruyn has been creating film works for over 35 years; mostly in the hand-made, 'direct animation' mode. He also performs live with multiple projections of his films in a highly embodied mode of expanded cinema performance. His work is renowned for its intricate, suggestive layering of sound and image, and use of sumptuous, blooming fields of colour.An active participant in our PyR16, Dirk will be discussing his conceptual work, his meticulous creative process, and his particular relationship with the materials, light, space and time both on film and stage, illustrating with some examples.We'll conclude with a Q&A session with the attendants.

Measuring passers-by engagement with AmPost: a printed interactive audio poster

This paper presents AmPost, a prototype of an interactive audio poster, which integrates ink-jet printed sonic and tactile elements along with textual and graphical information. This enables users to directly interact and engage with the poster. To achieve a seamless paper-based interactive poster that includes printed interactive elements, we implement a printed speaker and audio feedback system directly into the paper-based medium, which plays a short tune when someone walks by. Engaging passers-by with this new interface becomes a challenge as posters, in general, are non-interactive. This paper also presents an initial empirical evaluation of AmPost that captures and analyses the frequency and length of user engagement, and evaluates whether user engagement improves with the integration of interactive features, in comparison to the traditional non-interactive poster. This study facilitates in building the generic approach to measure engagement that applies to any kind of posters.

Robustness and embedding capacity enhancement in time-spread echo-based audio watermarking

In echo-based audio watermarking methods, poor robustness and low embedding capacity are the main problems. In this paper, we propose a novel time-spread echo method for audio watermarking, aiming to improve the robustness and the embedding capacity. To improve the robustness, we design an efficient pseudonoise (PN) sequence and a corresponding decoding function. Compared to the conventional PN sequence used in time-spread echo hiding based method, more large peaks are produced during the autocorrelation of the proposed PN sequence. Our decoding function is designed to utilize these peaks to improve the robustness. To enhance the embedding capacity, multiple watermark bits are embedded into one audio segment. This is achieved by varying the delays of added echo signals. Moreover, the security of the proposed method is further improved by scrambling the watermarks at the embedding stage. Compared with the conventional time-spread echo-based method, the proposed method is more robust to conventional attacks and has higher embedding capacity. The effectiveness of our method is illustrated by simulation results.