Multimodal Data Streaming using Visual IoTs and Wearables for Telerehabilitation and Teletreatment

远程康复 云计算 计算机科学 可穿戴计算机 模态(人机交互) 模式 远程医疗 多媒体 远程医疗 人机交互 医疗保健 嵌入式系统 社会学 操作系统 经济 经济增长 社会科学
作者
Herbert Guzman,Reenam Joshi,Victor Manuel Hernández-Guzmán,Max Kilger,Kevin Desai
标识
DOI:10.23919/wac50355.2021.9559516
摘要

The current pandemic and the expansion of insurance coverage of telehealth for the elderly has shown the need for improvements in the automation of medical services and behavioral monitoring. Elderly individuals at home or in senior centers typically contact their physicians once a serious medical condition is obvious. There are very few systems with automated means of monitoring the health of individuals recovering from an injury or monitoring their progress when conducting telerehabilitation using wearables, remote cameras, and the cloud. To address these automation and long-term health monitoring issues, we have developed a multi-modal platform that employs common, low-cost wearables, and teleconferencing tools that takes advantage of cloud streaming services. One modality is based on Visual IoT and edge devices that automatically connect as teleconferencing clients to record human subjects' telerehabilitation and teletreatment sessions and push these recordings to cloud storage. We performed experiments applying two different deep learning models to the cloud video streams to track whole-body skeleton motion or to detect hand keypoints during telerehabilitation. The rehabilitation maybe associated with recovery from a stroke or other similar incident. The other modality of our platform includes an Apple Watch ® App that pushes users' physiological and kinematic data to the cloud and automatically generates data analytics dashboards for use by clinicians. Both, the wearables-based and the Visual IoT-based modalities complement each other in telerehabilitation or teletreatment controlled by clinicians. These modalities can also work together in sessions without the need for controlled (uncontrolled) telemonitoring. Our multimodality, cloud-based architecture shows very promising applications in automatic behavioral analytics, especially for elderly individuals with limited social contact that would benefit from telerehabilitation, or continuous telemonitoring.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
张欢馨应助大梦想家采纳,获得10
刚刚
刚刚
派派完成签到,获得积分20
1秒前
咄咄完成签到 ,获得积分10
2秒前
kez发布了新的文献求助10
2秒前
2秒前
司衡完成签到 ,获得积分10
3秒前
张欢馨应助恣意采纳,获得10
4秒前
派派发布了新的文献求助10
4秒前
结实凌瑶发布了新的文献求助10
4秒前
搜集达人应助xing采纳,获得10
5秒前
NexusExplorer应助顺心的皓轩采纳,获得30
5秒前
科目三应助phonetwo采纳,获得10
5秒前
初景发布了新的文献求助10
5秒前
科研通AI6.4应助菠萝包包采纳,获得10
6秒前
烟花应助完美的冬灵采纳,获得10
6秒前
不吃鸭梨发布了新的文献求助10
7秒前
9秒前
10秒前
赘婿应助cxl采纳,获得10
10秒前
哎呀哎呀呀完成签到,获得积分10
12秒前
oi应助cc2713206采纳,获得60
12秒前
科研通AI6.4应助鲁班大神采纳,获得10
12秒前
淇淇发布了新的文献求助10
12秒前
张欢馨应助可可采纳,获得10
14秒前
jfkyt发布了新的文献求助10
14秒前
14秒前
111完成签到 ,获得积分10
14秒前
呆呆咩发布了新的文献求助10
14秒前
15秒前
yy发布了新的文献求助10
15秒前
17秒前
XXXXXX发布了新的文献求助10
18秒前
18秒前
18秒前
炸茄盒的老头完成签到,获得积分10
19秒前
emma完成签到 ,获得积分10
20秒前
复杂亦瑶完成签到,获得积分10
21秒前
21秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7638672
求助须知:如何正确求助?哪些是违规求助? 9211843
关于积分的说明 19760257
捐赠科研通 7205510
什么是DOI,文献DOI怎么找? 3275880
关于科研通互助平台的介绍 2437462
邀请新用户注册赠送积分活动 2273111