English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Human assistive robotics have the potential to help the elderly andindividuals living with disabilities with their Activities of Daily Living(ADL). Robotics researchers focus on assistive tasks from the perspective ofvarious control schemes and motion types. Health research on the other handfocuses on clinical assessment and rehabilitation, arguably leaving importantdifferences between the two domains. In particular, little is knownquantitatively on which ADLs are typically carried out in a persons everydayenvironment - at home, work, etc. Understanding what activities are frequentlycarried out during the day can help guide the development and prioritization ofrobotic technology for in-home assistive robotic deployment. This study targetsseveral lifelogging databases, where we compute (i) ADL task frequency fromlong-term low sampling frequency video and Internet of Things (IoT) sensordata, and (ii) short term arm and hand movement data from 30 fps video data ofdomestic tasks. Robotics and health care communities have differing terms andtaxonomies for representing tasks and motions. In this work, we derive anddiscuss a robotics-relevant taxonomy from quantitative ADL task and motion datain attempt to ameliorate taxonomic differences between the two communities. Ourquantitative results provide direction for the development of better assistiverobots to support the true demands of the healthcare community.

A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics