我相信超便攜穿戴式計(jì)算機(jī)將會(huì)是下一件產(chǎn)業(yè)大事，但這類產(chǎn)品可能還得等上10年才能達(dá)到像iPhone那樣的影響力。Google試圖藉由 Project Glass 大步領(lǐng)先，開創(chuàng)了一個(gè)非常大眾化的產(chǎn)品原型打造程序，雖然很炫，卻完全不保證成功。 在日前慶祝以太網(wǎng)絡(luò)誕生40周年的活動(dòng)上，與任職于Microsoft Research、研究可穿戴式計(jì)算機(jī)的產(chǎn)業(yè)老將Gordon Bell的一場(chǎng)閑聊，進(jìn)一步鞏固了我看好可穿戴式計(jì)算機(jī)前景的信念；他告訴我，臉部辨識(shí)與醫(yī)療感測(cè)將會(huì)是該類產(chǎn)品的兩大殺手級(jí)應(yīng)用。 作為研究計(jì)劃的一部分，Bell隨身帶著一臺(tái)移動(dòng)攝影機(jī)；他在午餐時(shí)間對(duì)我們一小群人說(shuō)：“我的結(jié)論是，可穿戴式計(jì)算機(jī)是一種記憶的輔助；”而臉部辨識(shí)將會(huì)是其關(guān)鍵功能。 諷刺的是，Google Glass項(xiàng)目經(jīng)理最近透露，該公司目前并沒有計(jì)劃使用臉部辨識(shí)功能；我猜想以上聲明的動(dòng)機(jī)有一部分應(yīng)該是基于對(duì)隱私權(quán)的憂慮，另一部分則是認(rèn)為相關(guān)技術(shù)仍在初期發(fā)展階段。我相信未來(lái)的可穿戴式計(jì)算機(jī)將會(huì)支持高度精確的臉部辨識(shí)，并且能克服相關(guān)的隱私權(quán)問(wèn)題；但以上兩者都是很大的挑戰(zhàn)。

臉部辨識(shí)在安防監(jiān)控應(yīng)用中發(fā)展的比較成熟，而在消費(fèi)級(jí)別電子上卻還剛起步
urlesmc

要 在不受限的人群中達(dá)成精確的臉部辨識(shí)，技術(shù)上有其難度──特別是當(dāng)資料是由日常生活使用的消費(fèi)等級(jí)攝影機(jī)來(lái)收集時(shí)；此外臉部辨識(shí)系統(tǒng)需要處理那些透過(guò)主流 無(wú)線網(wǎng)絡(luò)所傳送的資料，這類系統(tǒng)的響應(yīng)必須實(shí)時(shí)，才能在一般使用者偶爾于半路上遇到其它人時(shí)派上用場(chǎng)；而這將使得相關(guān)技術(shù)挑戰(zhàn)更加艱巨。 而臉部辨識(shí)將遭遇的市場(chǎng)營(yíng)銷與法規(guī)政策議題想必也是難以厘清，我可以想見其復(fù)雜度；不過(guò)就像Bell說(shuō)的，我相信臉部辨識(shí)會(huì)是可穿戴式計(jì)算機(jī)的殺手級(jí)應(yīng)用。 本文授權(quán)編譯自EE Times，版權(quán)所有，謝絕轉(zhuǎn)載 第2頁(yè)：也可望為醫(yī)療保健領(lǐng)域帶來(lái)革命 第3頁(yè)：Google Glass暫時(shí)領(lǐng)先，Apple來(lái)勢(shì)洶洶

相關(guān)閱讀：
• 可穿戴式設(shè)備離上市還有很長(zhǎng)的路要走
• 想做谷歌眼鏡開發(fā)者需要注意的11點(diǎn)
• 可穿戴電子四種應(yīng)用取向，突破口在哪里？urlesmc

{pagination} 可穿戴式計(jì)算機(jī)也可望為醫(yī)療保健領(lǐng)域帶來(lái)革命。比利時(shí)研究機(jī)構(gòu)IMEC等地的科學(xué)家們，已經(jīng)投入人體局域網(wǎng)(body area networks)多年，并逐漸取得進(jìn)展；微軟的Bell身上配戴了一個(gè)Fibit品牌的心律監(jiān)視器，并投資了多家開發(fā)可穿戴式醫(yī)療保健裝置的新創(chuàng)公司，包括設(shè)計(jì)了一款像是腕表的心跳傳感器的Bobo Analytics。 Bell告訴我：“我強(qiáng)烈地感覺到必須讓醫(yī)療照護(hù)不僅限于專業(yè)醫(yī)療院所，”他與許多人都預(yù)見了人們將可持續(xù)不斷接受醫(yī)療監(jiān)測(cè)的未來(lái)；云端服務(wù)能分析、追蹤病患的資料并提出報(bào)告，期望能預(yù)防健康問(wèn)題發(fā)生。 而這方面應(yīng)用也同樣面臨技術(shù)與市場(chǎng)營(yíng)銷/法規(guī)政策相關(guān)議題挑戰(zhàn)；舉例來(lái)說(shuō)，內(nèi)建于日常衣物或配件中的所謂干式傳感器(dry sensor)，必須能在人體內(nèi)外的噪聲干擾中收集精確的數(shù)據(jù)。至于該類產(chǎn)品可能面臨到的醫(yī)療責(zé)任與賠償?shù)日邌?wèn)題，就又更復(fù)雜了。

可穿戴式ECG & 體征監(jiān)測(cè)服演示平臺(tái)和應(yīng)用案例
urlesmc

其實(shí)可穿戴式計(jì)算機(jī)的發(fā)展已經(jīng)有好一段時(shí)間，例如美國(guó)國(guó)防部高等研究計(jì)劃署(DARPA)早在十年前就已經(jīng)投入相關(guān)計(jì)劃；今日產(chǎn)業(yè)界則是有更多小規(guī)模公司著手開發(fā)各式各樣的可穿戴式設(shè)備，主要是提供給運(yùn)動(dòng)健身愛好者使用──該應(yīng)用市場(chǎng)不必受醫(yī)療法規(guī)政策約束。 本文授權(quán)編譯自EE Times，版權(quán)所有，謝絕轉(zhuǎn)載 第3頁(yè)：Google Glass暫時(shí)領(lǐng)先，Apple來(lái)勢(shì)洶洶

相關(guān)閱讀：
• 可穿戴式設(shè)備離上市還有很長(zhǎng)的路要走
• 想做谷歌眼鏡開發(fā)者需要注意的11點(diǎn)
• 可穿戴電子四種應(yīng)用取向，突破口在哪里？urlesmc

{pagination} Google顯然已經(jīng)藉由Project Glass在消費(fèi)者心目中占據(jù)一定份量，但這并不意味著該產(chǎn)品將同樣贏得市占率；Google仍將克服不少障礙，包括因?yàn)橐话闶褂谜咚敢庳?fù)擔(dān)的重量有限，而使得其電池續(xù)航力受到限制。 總有一天，Apple或是其它公司將會(huì)推出像是iWatch、iBelt 或 iShirt…甚至iGlasses等等讓我們驚艷的產(chǎn)品，能攫取市場(chǎng)上的某部分需求、但不一定要非常明確；我認(rèn)為一整套可穿戴式設(shè)備共同搭配使用的應(yīng)用也將具備龐大發(fā)展?jié)摿Α? 多年來(lái)，包括飛利浦(Philips)等大廠的研究人員(主要來(lái)自歐洲)積極開發(fā)導(dǎo)電紗線(conductive yarns)，其主要目標(biāo)是將可穿戴式傳感器直接織進(jìn)衣物中；這真的是很酷，但看來(lái)會(huì)是等手表、眼鏡甚至皮帶等第一代可穿戴式設(shè)備誕生之后才會(huì)問(wèn)世的更下一代產(chǎn)品。而當(dāng)我們邁向“織品計(jì)算機(jī)”之前，科技與時(shí)尚界的合作可能只會(huì)激蕩碰撞出讓智能手機(jī)看起來(lái)像是一只Hello Kitty娃娃的手機(jī)殼。 有鑒于仍有諸多挑戰(zhàn)有待克服，我預(yù)期真正實(shí)用的超便攜穿戴式計(jì)算機(jī)還要等上好幾年才會(huì)誕生，而在那一天來(lái)臨之前，就讓我們拭目以待吧！ 本文授權(quán)編譯自EE Times，版權(quán)所有，謝絕轉(zhuǎn)載 編譯：Judith Cheng 參考英文原文：Wearable Computing: Let's Get It On，by Rick Merritt

相關(guān)閱讀：
• 可穿戴式設(shè)備離上市還有很長(zhǎng)的路要走
• 想做谷歌眼鏡開發(fā)者需要注意的11點(diǎn)
• 可穿戴電子四種應(yīng)用取向，突破口在哪里？urlesmc

{pagination} Wearable Computing: Let's Get It On Rick Merritt MOUNTAIN VIEW, Calif. -- I'm convinced ultra-mobile wearable computers will be the next big thing, but it could take a decade before the iPhone of this product class arrives. With Project Glass, Google is intentionally trying to leap ahead, creating a very public prototyping process that is fascinating but by no means guarantees success. Gordon Bell, an industry veteran investigating the field at Microsoft Research, helped me crystalize my belief in wearables when I chatted with him informally at a recent event celebrating the 40th anniversary of Ethernet. He told me facial recognition and medical sensing are two killer apps for these products. Bell wore a mobile camera everywhere he went as part of his research program. "What I concluded is that [wearable computers] are a memory assistant," and facial recognition plays a key role in that job, he told a group of us over lunch. Ironically, the Glass project manager at Google recently said the company currently has no plans to use facial recognition. I suspect that statement was motivated at least in part by privacy concerns and in part by the still nascent state of the technology. I believe tomorrow's wearables will need to tap into highly accurate facial recognition services and find ways to overcome privacy concerns about them. These are both big challenges. There's hard technical work ahead making facial recognition of unconstrained populations really accurate -- especially when the data is gathered in the normal course of life using consumer-grade cameras. Making the challenge even tougher, facial recognition systems must handle data sent over mainstream wireless networks, and these systems must respond in time to be useful to the average users as they casually encounter other people. I can't even begin to untangle the marketing and policy issues around facial recognition. I know they are significant. Like Bell, I believe the app is killer for the product category. Wearables could also revolutionize healthcare. Researchers at Belgium's IMEC and elsewhere have been working on body area networks for many years, making stepwise advances. Today, Bell wears a Fitbit heart rate monitor. He also has invested in multiple startups specializing in wearable health devices, including Bobo Analytics, which makes a heart sensor worn like a wristwatch. "I feel strongly you have to get healthcare out of the hands of people like cardiologists," he told me. He and others see a future where people are continuously monitored. Cloud services analyze and track the data, reporting and hopefully anticipating problems. Here again, there are technical and market/policy issues. For example, so-called dry sensors casually worn in clothes and accessories have to get much better in collecting accurate data in the midst of the noise in and around the body. And I don't even want to open the Pandora's box of policy issues around liability and reimbursement. They make the debate around Obamacare sound like chamber music. It's fascinating to watch the growing number of people involved with Google tinker more or less in the public eye with a prototype of the next big thing. But let's get some perspective here -- they are far from the first pioneers in this field.