Smart Toys Designed for Detecting Developmental Delays

Rivera, Diego; García, Antonio; Alarcos, Bernardo; Velasco, Juan R.; Ortega, José Eugenio; Martínez-Yelmo, Isaías

doi:10.3390/s16111953

Cited by 22 publications

(25 citation statements)

References 19 publications

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“…The cloud has some shortcomings in handling big data such as response delays and network loads [132]. Due to the exploding volume of data collected from IoT devices, it Hosseini et al [102] Spanakis et al [41] Jara et al [121] Rivera et al [114] García et al [97] Pai et al [39] Stradolini et al [56] Lizarduy et al [100] Choi et al [26] Figure 9: Security methods used in studies [26,39,41,56,68,79,80,94,97,100,102,108,112,114,116,121].…”

Section: Medical Iot Modelmentioning

confidence: 99%

Technological Features of Internet of Things in Medicine: A Systematic Mapping Study

Behmanesh

Sayfouri

Sadoughi

2020

Wireless Communications and Mobile Computing

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Nowadays, applications for the Internet of Things (IoT) have been introduced in different fields of medicine to provide more efficient medical services to the patients. A systematic mapping study was conducted to answer ten research questions with the purposes of identifying and classifying the present medical IoT technological features as well as recognizing the opportunities for future developments. We reviewed how cloud, wearable technologies, wireless communication technologies, messaging protocols, security methods, development boards, microcontrollers, mobile/IoT operating systems, and programming languages have been engaged in medical IoT. Based on specific inclusion/exclusion criteria, 89 papers, published between 2000 and 2018, were screened and selected. It was found that IoT studies, with a publication rise between 2015 and 2018, predominantly dealt with the following IoT features: (a) wearable sensor types of chiefly accelerometer and ECG placed on 16 different body parts, especially the wrist (33%) and the chest (21%) or implanted on the bone; (b) wireless communication technologies of Bluetooth, cellular networks, and Wi-Fi; (c) messaging protocols of mostly MQTT; (d) utilizing cloud for both storing and analyzing data; (e) the security methods of encryption, authentication, watermark, and error control; (f) the microcontrollers belonging to Atmel ATmega and ARM Cortex-M3 families; (g) Android as the commonly used mobile operating system and TinyOS and ContikiOS as the commonly used IoT operating systems; (h) Arduino and Raspberry Pi development boards; and finally (i) MATLAB as the most frequently employed programming language in validation research. The identified gaps/opportunities for future exploration are, namely, employment of fog/edge computing in storage and processing big data, the overlooked efficient features of CoAP messaging protocol, the unnoticed advantages of AVR Xmega and Cortex-M microcontroller families, employment of the programming languages of Python for its significant capabilities in evaluation and validation research, development of the applications being supported by the mobile/IoT operating systems in order to provide connection possibility among all IoT devices in medicine, exploiting wireless communication technologies such as BLE, ZigBee, 6LoWPAN, NFC, and 5G to reduce power consumption and costs, and finally uncovering the security methods, usually used in IoT applications, in order to make other applications more trustworthy.

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Section: Medical Iot Modelmentioning

confidence: 99%

Technological Features of Internet of Things in Medicine: A Systematic Mapping Study

Behmanesh

Sayfouri

Sadoughi

2020

Wireless Communications and Mobile Computing

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“…One study used embedded sensors in rattles to identify early signs of autism [32]. Blocks-like toys were designed to detect developmental delays from patterns of motion while manipulating the toys, time to accomplish a task and accuracy [33]. Toys made with smart textiles were designed to sense and monitor child-toy interaction during playtime [34].…”

Section: Robotic Toys To Describe Children's Behaviorsmentioning

confidence: 99%

Effect of Sensory Feedback on Turn-Taking Using Paired Devices for Children with ASD

Nuñez

Matsuda

Hirokawa

et al. 2018

MTI

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Most children can naturally engage in play and by this, develop skills while interacting with their peers and toys. However, children with Autism Spectrum Disorder (ASD) often show impairments in play skills which result in limited opportunities for interaction with others and the learning of social skills. In this regard, robotic devices/toys that can provide simple and attractive indications are advantageous to engage children with ASD in play activities that require social and interaction skills. This project proposes a new interaction method using paired robotic devices called COLOLO to facilitate a fundamental exchange of intention in communication so-called turn-taking. These tangible devices are designed to sense the user's manipulation, send a message to the paired device, and display visual cues for assisting children to achieve turn-taking through play. On the sessions with COLOLO there are two devices, one held by the therapist and one by the child, and they take turns to manipulate the toys and change their colors. In this article, two experimental conditions or interaction rules: the "two-sided lighting rule" and the "one-sided lighting rule" were introduced. The two interactions rules differ from each on the way the devices used the visual cues to indicate the turn-holder. The effect of each interaction rule on children's turn-taking behaviors was investigated through an experimental study with four children with ASD. From the results, we found that with the one-sided lighting rule participants tended to shift their gaze more and to decrease the failed attempts of turn-taking. The discussion covers the possibilities of using paired devices to describe participants' behaviors related to turn-taking quantitatively.

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“…(Montessori 2015) The importance of dealing with physical objects has been reported in many researches, as in (Fails et al 2005), where the results of the coding yielded several advantages for the physical environments over the desktop environments, and (Verdine et al 2014), regarding higher cognitive abilities. Some recent works considered smart toys, even though mostly for the assessment of motor abilities (Rivera et al 2016) or focusing on early interventions on infants (Rihar et al 2018).…”

Section: Introductionmentioning

confidence: 99%

From AAL to ambient assisted rehabilitation: a research pilot protocol based on smart objects and biofeedback

Meriggi

Mandalà

Brazzoli

et al. 2020

J Ambient Intell Human Comput

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The progressive miniaturization of electronic devices and their exponential increase in processing, storage and transmission capabilities, represent key factors of the current digital transformation, also sustaining the great development of Ambient Assisted Living (AAL) and the Internet of Things. Although most of the investigations in the recent years focused on remote monitoring and diagnostics, rehabilitation too could be positively affected by the widespread integrated use of these devices. Smart Objects in particular may be among the enablers to new quantitative approaches. In this paper, we present a proofof-concept and some preliminary results of an innovative pediatric rehabilitation protocol based on Smart Objects and biofeedback, which we administered to a sample of children with unilateral cerebral palsy. The novelty of the approach mainly consists in placing the sensing device into a common toy (a ball in our protocol) and using the information measured by the device to administer multimedia-enriched type of exercises, more engaging if compared to the usual rehabilitation activities used in clinical settings. We also introduce a couple of performance indexes, which could be helpful for a quantitative continuous evaluation of movements during the exercises. Even if the number of children involved and sessions performed are not suitable to assess any change in the subjects' abilities, nor to derive solid statistical inferences, the novel approach resulted very engaging and enjoyable by all the children participating in the study. Moreover, given the almost non-existent literature on the use of Smart Objects in pediatric rehabilitation, the few qualitative/quantitative results here reported may promote the scientific and clinical discussion regarding AAL solutions in a "Computer Assisted Rehabilitation" perspective, towards what can be defined "Pediatric Rehabilitation 2.0".

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Smart Toys Designed for Detecting Developmental Delays

Cited by 22 publications

References 19 publications

Technological Features of Internet of Things in Medicine: A Systematic Mapping Study

Technological Features of Internet of Things in Medicine: A Systematic Mapping Study

Effect of Sensory Feedback on Turn-Taking Using Paired Devices for Children with ASD

From AAL to ambient assisted rehabilitation: a research pilot protocol based on smart objects and biofeedback

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