Infant posture and movement analysis using a sensor-supported gym with toys

Andraž Rihar, Matjaž Mihelj, Jure Pašič, Giuseppina Sgandurra, Francesca Cecchi, Giovanni Cioni, Paolo Dario, Marko Munih

Research output: Contribution to journalArticlepeer-review


Infant posture and motor pattern development are normally analyzed by clinical assessment scales. Lately, this approach is combined with the use of sensor-supported systems, such as optical, inertial, and electromagnetic measurement systems, as well as novel assessment devices, such as CareToy. CareToy is a modular device for assessment and rehabilitation of preterm infants, comprising pressure mattresses, inertial and magnetic measurement units, and sensorized toys. Since such integrated sensor system combination is new to the field of sensor-supported infant behavior assessment and rehabilitation, dedicated methods for data analysis were developed and presented. These comprise trunk rotation, arm movement, forearm orientation, and head movement analysis, along with toy play and trunk posture stability evaluation. Methods were tested on case study data, evaluating suitability of developed algorithms for infant posture and activity analysis, regardless of behavioral responses. Obtained results demonstrate suitability of the proposed methods for successful use in studies of different motor pattern subfields. This represents an important step on the course towards objective, accurate, sensor-supported infant motor development assessment. [Figure not available: see fulltext.]

Original languageEnglish
JournalMedical and Biological Engineering and Computing
Publication statusAccepted/In press - Jan 1 2018


  • Data processing algorithms
  • Inertial and magnetic measurement units
  • Infant activity assessment
  • Pressure mattress
  • Sensorized toys

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications


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