Search results for "laitteet"
showing 10 items of 242 documents
Design and validation of a wireless Body Sensor Network for integrated EEG and HD-sEMG acquisitions
2022
Sensorimotor integration is the process through which the human brain plans the motor program execution according to external sources. Within this context, corticomuscular and corticokinematic coherence analyses are common methods to investigate the mechanism underlying the central control of muscle activation. This requires the synchronous acquisition of several physiological signals, including EEG and sEMG. Nevertheless, physical constraints of the current, mostly wired, technologies limit their application in dynamic and naturalistic contexts. In fact, although many efforts were made in the development of biomedical instrumentation for EEG and High Density-surface EMG (HD-sEMG) signal ac…
Mobiiliopetuksen käyttömahdollisuuksia : oppilaiden omien mobiililaitteiden käyttö peruskoulun alakoulun opetuksessa
2015
Muutaman viime vuoden aikana mobiililaitteiden käyttö kouluissa on yleistynyt. Tämä on osittain aiheuttanut ristiriitaista keskustelua laitteiden käytöstä opetuksessa. Osa opettajista on ottanut mobiililaitteet opetuskäyttöön innokkaasti. Mobiiliopetuksen mahdollisuuksia ei kuitenkaan ole vielä kovin paljon tutkittu. Tällä tutkimuksella oli tarkoitus selvittää, mitä mahdollisuuksia oppilaiden omat mobiililaitteet tarjoavat opetukseen. Aineiston analyysissa pyrittiin etsimään tietoa siitä, miten ongelma-perustaisen opetuksen menetelmä ja pelillisyys vaikuttavat opetus- ja oppimisprosessissa, kun opiskelumenetelmänä käytetään mobiilioppimista ja oppilaiden omia mobiililaitteita. Tutkimus teht…
The Effect of Paddle Stroke Variables Measured by Trainesense SmartPaddle® on the Velocity of the Kayak
2022
(1) Background: This study aimed to compare key variables of paddle stroke measured by a commercial Trainesense SmartPaddle® against the strain-gauge shaft and investigate how these variables are associated with the velocity of the boat among national-level canoe polo players. (2) Methods: This study involved 14 Finnish national-level canoe polo players. The measurement protocol consisted of three different paddling velocities, which were performed in indoor swimming pools. The velocity of the boat was calculated based on the performance time measured with the laser photocell gate. Canoe polo equipment was used in the study and a SmartPaddle sensor was attached to the paddle blade. A strain…
Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing With Delay-Constraint
2019
Mobile Edge Computing (MEC) is an important and effective platform to offload the computational services of modern mobile applications, and has gained tremendous attention from various research communities. For delay and resource constrained mobile devices, the important issues include: 1) minimization of the service latency; 2) optimal revenue maximization; 3) high quality-of-service (QoS) requirement to offload the computational service offloading. To address the above issues, an adaptive service offloading scheme is designed to provide the maximum revenue and service utilization to MEC. Unlike most of the existing works, we consider both the delay-tolerant and delay-constraint services i…
Hidden Pursuits: Evaluating Gaze-selection via Pursuits when the Stimuli's Trajectory is Partially Hidden
2018
The idea behind gaze interaction using Pursuits is to leverage the human's smooth pursuit eye movements performed when following moving targets. However, humans can also anticipate where a moving target would reappear if it temporarily hides from their view. In this work, we investigate how well users can select targets using Pursuits in cases where the target's trajectory is partially invisible (HiddenPursuits): e.g., can users select a moving target that temporarily hides behind another object? Although HiddenPursuits was not studied in the context of interaction before, understanding how well users can perform HiddenPursuits presents numerous opportunities, particularly for small interfa…
Aalto-1, multi-payload CubeSat: Design, integration and launch
2021
The design, integration, testing, and launch of the first Finnish satellite Aalto-1 is briefly presented in this paper. Aalto-1, a three-unit CubeSat, launched into Sun-synchronous polar orbit at an altitude of approximately 500 km, is operational since June 2017. It carries three experimental payloads: Aalto Spectral Imager (AaSI), Radiation Monitor (RADMON), and Electrostatic Plasma Brake (EPB). AaSI is a hyperspectral imager in visible and near-infrared (NIR) wavelength bands, RADMON is an energetic particle detector and EPB is a de-orbiting technology demonstration payload. The platform was designed to accommodate multiple payloads while ensuring sufficient data, power, radio, mechanica…
Digital communication environments in the workplace
2019
Digital communication environments consist of various kinds of communication technologies and collaboration platforms. These enable employees to communicate through text, audio, video, and graphics, often in an open and networked way. Complementing the popular stand-alone communication tools regularly used in workplaces, such as email and instant messaging, digital communication environments enable the sharing, editing, and storing of information publicly within the organization and sometimes externally among its stakeholders. This chapter reviews and analyzes digital communication environments as well as their affordances and constraints for communication and social interaction in the work…
Evaluation of Ensemble Machine Learning Methods in Mobile Threat Detection
2017
The rapid growing trend of mobile devices continues to soar causing massive increase in cyber security threats. Most pervasive threats include ransom-ware, banking malware, premium SMS fraud. The solitary hackers use tailored techniques to avoid detection by the traditional antivirus. The emerging need is to detect these threats by any flow-based network solution. Therefore, we propose and evaluate a network based model which uses ensemble Machine Learning (ML) methods in order to identify the mobile threats, by analyzing the network flows of the malware communication. The ensemble ML methods not only protect over-fitting of the model but also cope with the issues related to the changing be…
Simultaneous non-invasive gas analysis in artificial photosynthesis reactions using rotational Raman spectroscopy
2022
Optimising reactions in artificial photosynthesis research requires screening of many reaction and operation parameters, which is often resource-intense and time-consuming. In this paper, we demonstrate the use of a rotational Raman-based spectrometer for non-invasive quantification of several gases (H2, O2, N2, CO, CO2) with short analysis times (15 s), enabling high throughput screening. Furthermore, with this device, reaction progress can be monitored in situ, by real-time simultaneous quantification of multiple gases. We have applied this instrument and developed a method to study the O2 dependency of a prototypic light-driven hydrogen evolution reaction, showcasing the value of this ap…
Using Sport and Wellness Technology to Promote Physical Activity: An Intervention Study among Teenagers
2019
Life-long physical activity patterns are established during teenage years. Thus, promoting physical activity for teenagers is important. Sport and wellness technology shows promise for promoting physical activity. Yet, its research with teenage populations is sparse. This intervention study focused on whether using a sport and wellness technology application could affect the physical activity intention of teenagers, its antecedents, and the antecedents’ effects on intention by using the theory of planned behavior combined with the concept of self-efficacy as a theoretical framework. The results showed no statistically significant difference between the intervention and the control group in …